Style Transfer is the technique of applying the artistic style of one image (style image) to the content of another image (content image), creating a new image that combines content from one source with the aesthetic style of another. Neural style transfer employs convolutional neural networks to separate and recombine content and style representations via Gram matrix optimisation, enabling artistic rendering, photo enhancement, and creative visual effects.

Semantic Classification

Content

  • Style Transfer is the technique of applying the artistic style of one image (style image) to the content of another image (content image), creating a new image that combines content from one source with the aesthetic style of another. Neural style transfer employs convolutional neural networks to separate and recombine content and style representations, enabling artistic rendering, photo enhancement, and creative visual effects.

Website made in minutes from the project files, pushed automatically to github.

Transfer Agents

  • Specialized agents operating between metaverse instances, enabling interoperability.
  • Responsibilities include:

The future of agents

Bitcoin and Remittances

  • Economic Dependence on Remittances: A large portion of El Salvador’s GDP comes from remittances sent by citizens working abroad.
  • Current Transfer System: Traditional methods like Western Union are centralized, regulated, and often inconvenient for those in rural areas.
  • Bitcoin as an Alternative: Cryptocurrencies like Bitcoin enable easy fund transfers via mobile phones, bypassing the need for physical transfer services.
  • Calculating Empires is a large-scale research visualization project and exhibition that explores the interconnected history of technology and power from 1500 to the present day
  • The centerpiece of the exhibition is the Calculating Empires Map Room, which features two massive 12-meter long maps.
  • One map focuses on communication and computation, covering the evolution of communication devices, interfaces, data practices, and computational architectures.
  • The other map explores control and classification, examining how technologies have been integrated into social systems of Digital Society Surveillance , Education and AI , colonialism, Cyber Security and Military
  • It starts in the 1500s, examining pivotal developments like the Gutenberg printing press and new maritime trade routes that expanded European AI Governance Law and Privacy
  • It takes a long-term view to reveal recurring patterns in how technology and power structures have developed over centuries.
  • The visual style is inspired by sources like Aby Warburg’s “Atlas” project, using evocative imagery to trace historical evolutions.
  • It aims to provide critical perspective on current AI developments by placing them in a broader historical context of technological power.
  • The exhibition also includes a recreation of the creators’ earlier work “Anatomy of an AI System”.

IpAdapter

  • Image to image conditioning, which is style transfer, which is mashing images together.

A grounding: The Paranoid Style in American Politics

  • This 1964 essay by Richard Hofstadter examines the “paranoid style” in American politics, a recurring phenomenon characterised by heated exaggeration, suspicion, and conspiratorial fantasy. Hofstadter argues that this style is not limited to the mentally ill, but rather a mode of expression used by “more or less normal people” to advocate for their political views.
  • He traces the paranoid style through various historical episodes:
    • The Bavarian Illuminati panic: A fear of a secret society plotting against the United States, linked to the French Revolution and the rise of Jeffersonian democracy.
    • Anti-Masonry: A widespread movement accusing Freemasons of conspiring against republican government and the common man.
    • Anti-Catholicism: A nativist movement fearing a Catholic plot to undermine American values, often fuelled by exaggerated claims of sexual immorality and hidden agendas.
  • Hofstadter then analyses the paranoid style in the context of the contemporary right wing, which he sees as feeling “dispossessed” and believing in a grand conspiracy to undermine America’s values and institutions. Key elements of this contemporary paranoia include:
    • A long-running conspiracy to destroy free capitalism and install socialism or communism.
    • The infiltration of government by communist agents, leading to betrayals of national interests.
    • A widespread network of communist agents influencing education, religion, the press, and the media.
  • Hofstadter argues that the paranoid style often involves:
    • Apocalyptic thinking: Seeing the world in terms of absolute good vs. evil, and believing in imminent threats to civilisation.
    • Militant leadership: Rejecting compromise and seeking total victory against the enemy, which is often perceived as inherently evil and unappeasable.
    • Projection of self: Attributing their own desires, fears, and failings to the enemy, who is often depicted as a powerful, sinister, and immoral force.
    • Excessive reliance on “evidence”: Gathering seemingly factual data to support pre-existing beliefs, often ignoring contradictory evidence and exhibiting a strong resistance to enlightenment.
  • Hofstadter opines that ‘the paranoid style’ is a persistent psychic phenomenon, fuelled by social conflict, a sense of powerlessness, and a lack of access to the political process. It is a self-perpetuating cycle that leads to distorted perceptions and a double suffering: from the real world, and from the individual’s own fantasies.
  • It is a seminal work in American political thought, sparking significant debate and continuing to resonate in contemporary discussions. While the essay has been lauded for its insightful observations, it also faces criticism for its limitations, particularly in terms of its historical and psychological frameworks.
    • The Enduring Nature of the Paranoid Style: Hofstadter accurately identified the persistent presence of conspiracy theories and paranoid thinking in American politics. This phenomenon, as evidenced by the movements he analysed (anti-Masonry, anti-Catholicism, McCarthyism), continues to manifest in contemporary political discourse, particularly on the right. As sociologist Kathleen B. Jones argues in her book “Conspiracy Theories: The Paranoid Style in American Politics,” the paranoid style is a “recurring theme in American political culture,” driven by anxieties about social change and perceived threats to existing power structures.
    • The Psychological Dynamics of Paranoid Thinking: Hofstadter astutely observed the projection of fears and anxieties onto an external enemy, the tendency towards apocalyptic thinking, and the reliance on “evidence” as a means of bolstering pre-existing beliefs. These psychological mechanisms remain relevant in understanding the motivations and behaviours of those who embrace paranoid narratives, as psychologist Daniel Goleman notes in his book “Emotional Intelligence,” where he discusses the role of fear and anxiety in fostering irrational beliefs.
    • The Role of Social Conflict: Hofstadter’s analysis highlighted how social conflict, particularly around issues of class, ethnicity, and religion, can fuel the paranoid style. His observation that this style often emerges when individuals feel “dispossessed” and shut out of the political process resonates with contemporary research on social movements and political alienation. Sociologist Michael Mann, in his book “The Dark Side of Democracy: Explaining Ethnic Cleansing,” argues that feelings of marginalisation and powerlessness can drive individuals to embrace extreme ideologies and engage in violent or destructive actions.
    • The Oversimplification of “Paranoid Style”: Critics argue that Hofstadter’s concept is overly broad and simplistic. The term “paranoid style” risks pathologising political beliefs, conflating genuine anxieties with irrational fears, and failing to acknowledge the complexity of political motivations. Political scientist Jeffrey C. Goldfarb, in his article “The Paranoid Style: A Critical Reassessment,” argues that Hofstadter’s analysis “overlooks the historical and social context” of the beliefs he analyses, failing to adequately address the real grievances and anxieties that might fuel paranoid thinking.
    • The Focus on Right-Wing Politics: While Hofstadter acknowledged the paranoid style’s potential for both left-wing and right-wing movements, his essay primarily focused on the latter. This focus has led some to argue that his analysis perpetuates a bias towards viewing the right as inherently more prone to irrational thinking. Within the online communities referenced in this graph there are examples of both, but it does tend to skew right. While it’s true that the right has historically been associated with more conspiracy theories, this should not be seen as an inherent feature of right-wing ideology. As historian Daniel Rodgers notes in his book “Age of Fracture,” conspiracy theories have emerged across the political spectrum throughout history.
    • The Lack of Nuance in Psychological Analysis: While Hofstadter’s observations about the psychological mechanisms of paranoia are insightful, his analysis lacks the nuanced understanding of psychological complexity that has emerged in subsequent decades. While he identified common psychological features, he failed to acknowledge the intricate interplay of factors that contribute to paranoia, such as personal experiences, social conditioning, and cultural context.

Mollick

DAO style structures on Nostr

Examples

2023 Major findings report

  • (I disagree with this one)

Random Bonus Podcasts

https://open.spotify.com/episode/3KrLw4xNAiEeylzm7gg0qr?si=e59f027065884c33

A look at 2023

Industry perspective << this is 133 industry reports in a GPT I have made.

Stylised Artistic Illustrations

  • Use AI style-transfer plugins (such as Veras prompts for ‘watercolour sketch’ or ‘ink outline’)
  • Export views to image-to-image tools (Midjourney, Stable Diffusion with community style models) for watercolour, pencil or comic-book effects
  • Adobe Firefly in Photoshop for generative fill on SVG/PDF exports (text-to-image room textures, decorative elements)

Uses Open Source Knowledge Management (LogSeq)

Website made in minutes from the project files, pushed automatically to github.

Transfer Agents

  • Specialized agents operating between metaverse instances, enabling interoperability.
  • Responsibilities include:

The future of agents

Bitcoin and Remittances

  • Economic Dependence on Remittances: A large portion of El Salvador’s GDP comes from remittances sent by citizens working abroad.
  • Current Transfer System: Traditional methods like Western Union are centralized, regulated, and often inconvenient for those in rural areas.
  • Bitcoin as an Alternative: Cryptocurrencies like Bitcoin enable easy fund transfers via mobile phones, bypassing the need for physical transfer services.
  • Calculating Empires is a large-scale research visualization project and exhibition that explores the interconnected history of technology and power from 1500 to the present day
  • The centerpiece of the exhibition is the Calculating Empires Map Room, which features two massive 12-meter long maps.
  • One map focuses on communication and computation, covering the evolution of communication devices, interfaces, data practices, and computational architectures.
  • The other map explores control and classification, examining how technologies have been integrated into social systems of Digital Society Surveillance , Education and AI , colonialism, Cyber Security and Military
  • It starts in the 1500s, examining pivotal developments like the Gutenberg printing press and new maritime trade routes that expanded European AI Governance Law and Privacy
  • It takes a long-term view to reveal recurring patterns in how technology and power structures have developed over centuries.
  • The visual style is inspired by sources like Aby Warburg’s “Atlas” project, using evocative imagery to trace historical evolutions.
  • It aims to provide critical perspective on current AI developments by placing them in a broader historical context of technological power.
  • The exhibition also includes a recreation of the creators’ earlier work “Anatomy of an AI System”.

IpAdapter

  • Image to image conditioning, which is style transfer, which is mashing images together.

A grounding: The Paranoid Style in American Politics

  • This 1964 essay by Richard Hofstadter examines the “paranoid style” in American politics, a recurring phenomenon characterised by heated exaggeration, suspicion, and conspiratorial fantasy. Hofstadter argues that this style is not limited to the mentally ill, but rather a mode of expression used by “more or less normal people” to advocate for their political views.
  • He traces the paranoid style through various historical episodes:
    • The Bavarian Illuminati panic: A fear of a secret society plotting against the United States, linked to the French Revolution and the rise of Jeffersonian democracy.
    • Anti-Masonry: A widespread movement accusing Freemasons of conspiring against republican government and the common man.
    • Anti-Catholicism: A nativist movement fearing a Catholic plot to undermine American values, often fuelled by exaggerated claims of sexual immorality and hidden agendas.
  • Hofstadter then analyses the paranoid style in the context of the contemporary right wing, which he sees as feeling “dispossessed” and believing in a grand conspiracy to undermine America’s values and institutions. Key elements of this contemporary paranoia include:
    • A long-running conspiracy to destroy free capitalism and install socialism or communism.
    • The infiltration of government by communist agents, leading to betrayals of national interests.
    • A widespread network of communist agents influencing education, religion, the press, and the media.
  • Hofstadter argues that the paranoid style often involves:
    • Apocalyptic thinking: Seeing the world in terms of absolute good vs. evil, and believing in imminent threats to civilisation.
    • Militant leadership: Rejecting compromise and seeking total victory against the enemy, which is often perceived as inherently evil and unappeasable.
    • Projection of self: Attributing their own desires, fears, and failings to the enemy, who is often depicted as a powerful, sinister, and immoral force.
    • Excessive reliance on “evidence”: Gathering seemingly factual data to support pre-existing beliefs, often ignoring contradictory evidence and exhibiting a strong resistance to enlightenment.
  • Hofstadter opines that ‘the paranoid style’ is a persistent psychic phenomenon, fuelled by social conflict, a sense of powerlessness, and a lack of access to the political process. It is a self-perpetuating cycle that leads to distorted perceptions and a double suffering: from the real world, and from the individual’s own fantasies.
  • It is a seminal work in American political thought, sparking significant debate and continuing to resonate in contemporary discussions. While the essay has been lauded for its insightful observations, it also faces criticism for its limitations, particularly in terms of its historical and psychological frameworks.
    • The Enduring Nature of the Paranoid Style: Hofstadter accurately identified the persistent presence of conspiracy theories and paranoid thinking in American politics. This phenomenon, as evidenced by the movements he analysed (anti-Masonry, anti-Catholicism, McCarthyism), continues to manifest in contemporary political discourse, particularly on the right. As sociologist Kathleen B. Jones argues in her book “Conspiracy Theories: The Paranoid Style in American Politics,” the paranoid style is a “recurring theme in American political culture,” driven by anxieties about social change and perceived threats to existing power structures.
    • The Psychological Dynamics of Paranoid Thinking: Hofstadter astutely observed the projection of fears and anxieties onto an external enemy, the tendency towards apocalyptic thinking, and the reliance on “evidence” as a means of bolstering pre-existing beliefs. These psychological mechanisms remain relevant in understanding the motivations and behaviours of those who embrace paranoid narratives, as psychologist Daniel Goleman notes in his book “Emotional Intelligence,” where he discusses the role of fear and anxiety in fostering irrational beliefs.
    • The Role of Social Conflict: Hofstadter’s analysis highlighted how social conflict, particularly around issues of class, ethnicity, and religion, can fuel the paranoid style. His observation that this style often emerges when individuals feel “dispossessed” and shut out of the political process resonates with contemporary research on social movements and political alienation. Sociologist Michael Mann, in his book “The Dark Side of Democracy: Explaining Ethnic Cleansing,” argues that feelings of marginalisation and powerlessness can drive individuals to embrace extreme ideologies and engage in violent or destructive actions.
    • The Oversimplification of “Paranoid Style”: Critics argue that Hofstadter’s concept is overly broad and simplistic. The term “paranoid style” risks pathologising political beliefs, conflating genuine anxieties with irrational fears, and failing to acknowledge the complexity of political motivations. Political scientist Jeffrey C. Goldfarb, in his article “The Paranoid Style: A Critical Reassessment,” argues that Hofstadter’s analysis “overlooks the historical and social context” of the beliefs he analyses, failing to adequately address the real grievances and anxieties that might fuel paranoid thinking.
    • The Focus on Right-Wing Politics: While Hofstadter acknowledged the paranoid style’s potential for both left-wing and right-wing movements, his essay primarily focused on the latter. This focus has led some to argue that his analysis perpetuates a bias towards viewing the right as inherently more prone to irrational thinking. Within the online communities referenced in this graph there are examples of both, but it does tend to skew right. While it’s true that the right has historically been associated with more conspiracy theories, this should not be seen as an inherent feature of right-wing ideology. As historian Daniel Rodgers notes in his book “Age of Fracture,” conspiracy theories have emerged across the political spectrum throughout history.
    • The Lack of Nuance in Psychological Analysis: While Hofstadter’s observations about the psychological mechanisms of paranoia are insightful, his analysis lacks the nuanced understanding of psychological complexity that has emerged in subsequent decades. While he identified common psychological features, he failed to acknowledge the intricate interplay of factors that contribute to paranoia, such as personal experiences, social conditioning, and cultural context.

Mollick

DAO style structures on Nostr

Examples

2023 Major findings report

  • (I disagree with this one)

Random Bonus Podcasts

https://open.spotify.com/episode/3KrLw4xNAiEeylzm7gg0qr?si=e59f027065884c33

A look at 2023

Industry perspective << this is 133 industry reports in a GPT I have made.

Stylised Artistic Illustrations

  • Use AI style-transfer plugins (such as Veras prompts for ‘watercolour sketch’ or ‘ink outline’)
  • Export views to image-to-image tools (Midjourney, Stable Diffusion with community style models) for watercolour, pencil or comic-book effects
  • Adobe Firefly in Photoshop for generative fill on SVG/PDF exports (text-to-image room textures, decorative elements)

Uses Open Source Knowledge Management (LogSeq)

Transfer Agents

  • Specialized agents operating between metaverse instances, enabling interoperability.
  • Responsibilities include:

A grounding: The Paranoid Style in American Politics

  • This 1964 essay by Richard Hofstadter examines the “paranoid style” in American politics, a recurring phenomenon characterised by heated exaggeration, suspicion, and conspiratorial fantasy. Hofstadter argues that this style is not limited to the mentally ill, but rather a mode of expression used by “more or less normal people” to advocate for their political views.
  • He traces the paranoid style through various historical episodes:

DAO style structures on Nostr

Random Bonus Podcasts

https://open.spotify.com/episode/3KrLw4xNAiEeylzm7gg0qr?si=e59f027065884c33

Community Support

Uses Open Source Knowledge Management (LogSeq)

Transfer Agents

  • Specialized agents operating between metaverse instances, enabling interoperability.
  • Responsibilities include:

Title: Bitcoin’s Adoption in El Salvador: A Boon for the Unbanked

  • Current Transfer System: Traditional methods like Western Union are centralized, regulated, and often inconvenient for those in rural areas.
  • Bitcoin as an Alternative: Cryptocurrencies like Bitcoin enable easy fund transfers via mobile phones, bypassing the need for physical transfer services.
  • Deflationary Nature: Unlike traditional currencies, Bitcoin’s supply is capped, which could lead to falling prices over time.
  • Environmental Concerns: Bitcoin mining’s environmental impact is a factor to consider in its adoption. https://www.cointribune.com/en/argentina-bitcoin-faces-100-inflation-rate/

DAO style structures on Nostr

Random Bonus Podcasts

https://open.spotify.com/episode/3KrLw4xNAiEeylzm7gg0qr?si=e59f027065884c33

Community Support

  • This collaborative environment fosters learning, inspiration, and rapid innovation
  • Suitable for generating images quickly, especially on less powerful hardware.
  • Higher resolution, better prompt control
  • Will often mess up human bodies due to constrained training
  • Excellent prompt following.
  • Terrible human anatomy.

Random Bonus Podcasts

https://open.spotify.com/episode/3KrLw4xNAiEeylzm7gg0qr?si=e59f027065884c33

Audio as an essential intimate modality

GitHub CoPilot

  • They are billing this as the most radical uplift to Windows ever.

Audio as an essential intimate modality

GitHub CoPilot

  • They are billing this as the most radical uplift to Windows ever.

Dreamlab

  • I’m associate director, and the Spatial AI Lead for an emerging media innovation lab, supporting human storytelling with immersive and AI tech.
    • creatives,
    • academics,
    • professionals,
    • storytellers,
    • technologists.
  • You can unwrap the little arrow the the left to see the things we can do across the whole team. Much more to follow on this.

    Skill Sheet


    AI, Machine Learning & Data

    AI & ML Consulting: Strategic guidance on integrating AI into workflows—from concept to deployment—tailoured for general and immersive/creative tech. Bespoke Data & AI Provisioning: Traditional machine learning pipelines for structured, semi-structured, and unstructured data, including data engineering, cleansing, and cloud/hybrid storage strategies. Private Large Language Models: Secure, on-premise or cloud-hosted LLMs for proprietary use, with fine-tuning, inference optimisation, and seamless integration into existing toolchains. ComfyUI Image & Video Workflows: Automating and managing large datasets for high-volume image and video training with real-time inference systems for generative visuals. Retrieval-Augmented Generation (RAG) & Knowledge Management: Building RAG agents for context-rich tasks and conversational interfaces, alongside semantic search, data lakes, and enterprise knowledge graph solutions. HP AI Studio, GenAI Studio & HP Boost: Consulting on leveraging HP’s AI/ML toolkits and acceleration software, with collaborative development environments for rapid experimentation. HPC Infrastructure for AI: On-premise clusters, GPU workstations, or cloud/hybrid solutions designed for high-throughput training, model deployment, and distributed inference. Synthetic Data Creation: 3D rendering pipelines to generate training sets for specialised AI models, including procedural scene, character, and environment generation. AI-Driven Motion Capture & Retargeting: Automated capture refinement with real-time retargeting to digital assets. Cybersecurity & Access Control: Protecting intellectual property during model training and deployment, with secure data exchange for distributed ML pipelines.

    Virtual Production & Real-Time Systems

    Local High-Performance Compute (HPC) for Real-Time: High-end, on-premise systems for real-time rendering, simulation, and data-heavy tasks. VP Direction & Operation: Comprehensive oversight of virtual production workflows—from previsualisation to on-set integration. Virtual Art Department (VAD): Creation of digital sets, environments, and virtual assets tailored for real-time pipelines. Unreal Engine Generalists & Technical Artists: Expertise in modelling, texturing, blueprint scripting, optimisation, and tool creation. MetaHuman & Performance Capture: Leveraging Epic’s MetaHuman framework for realistic digital humans, with full-body and facial capture for live performance mapping. Real-Time Characters, Rigging & Advanced Character Pipelines: Efficient character creation, complex rigging, and bespoke toolchains for real-time applications. Large-Scale Immersive Systems & LED Installations: … — working/pages/Dreamlab.md

Screenshot 2024-11-27 094227.png

Features

  • Text-to-Video: Generate animations from a text prompt and a static image.
  • Image-to-Video: Generate animations from a static image.
  • Video-to-Video: Transfer the style of one video to another.
  • ControlNet: Use ControlNet to guide the animation and create more complex movements.
  • LoRA: Use LoRA to fine-tune the model and create specific styles.

Audio as an essential intimate modality

GitHub CoPilot

  • They are billing this as the most radical uplift to Windows ever.

Dreamlab

  • I’m associate director, and the Spatial AI Lead for an emerging media innovation lab, supporting human storytelling with immersive and AI tech.
    • creatives,
    • academics,
    • professionals,
    • storytellers,
    • technologists.
  • You can unwrap the little arrow the the left to see the things we can do across the whole team. Much more to follow on this.

    Skill Sheet


    AI, Machine Learning & Data

    AI & ML Consulting: Strategic guidance on integrating AI into workflows—from concept to deployment—tailoured for general and immersive/creative tech. Bespoke Data & AI Provisioning: Traditional machine learning pipelines for structured, semi-structured, and unstructured data, including data engineering, cleansing, and cloud/hybrid storage strategies. Private Large Language Models: Secure, on-premise or cloud-hosted LLMs for proprietary use, with fine-tuning, inference optimisation, and seamless integration into existing toolchains. ComfyUI Image & Video Workflows: Automating and managing large datasets for high-volume image and video training with real-time inference systems for generative visuals. Retrieval-Augmented Generation (RAG) & Knowledge Management: Building RAG agents for context-rich tasks and conversational interfaces, alongside semantic search, data lakes, and enterprise knowledge graph solutions. HP AI Studio, GenAI Studio & HP Boost: Consulting on leveraging HP’s AI/ML toolkits and acceleration software, with collaborative development environments for rapid experimentation. HPC Infrastructure for AI: On-premise clusters, GPU workstations, or cloud/hybrid solutions designed for high-throughput training, model deployment, and distributed inference. Synthetic Data Creation: 3D rendering pipelines to generate training sets for specialised AI models, including procedural scene, character, and environment generation. AI-Driven Motion Capture & Retargeting: Automated capture refinement with real-time retargeting to digital assets. Cybersecurity & Access Control: Protecting intellectual property during model training and deployment, with secure data exchange for distributed ML pipelines.

    Virtual Production & Real-Time Systems

    Local High-Performance Compute (HPC) for Real-Time: High-end, on-premise systems for real-time rendering, simulation, and data-heavy tasks. VP Direction & Operation: Comprehensive oversight of virtual production workflows—from previsualisation to on-set integration. Virtual Art Department (VAD): Creation of digital sets, environments, and virtual assets tailored for real-time pipelines. Unreal Engine Generalists & Technical Artists: Expertise in modelling, texturing, blueprint scripting, optimisation, and tool creation. MetaHuman & Performance Capture: Leveraging Epic’s MetaHuman framework for realistic digital humans, with full-body and facial capture for live performance mapping. Real-Time Characters, Rigging & Advanced Character Pipelines: Efficient character creation, complex rigging, and bespoke toolchains for real-time applications. Large-Scale Immersive Systems & LED Installations: … — working/pages/Dreamlab.md

Screenshot 2024-11-27 094227.png

Features

  • Text-to-Video: Generate animations from a text prompt and a static image.

  • Image-to-Video: Generate animations from a static image.

  • Video-to-Video: Transfer the style of one video to another.

  • ControlNet: Use ControlNet to guide the animation and create more complex movements.

  • LoRA: Use LoRA to fine-tune the model and create specific styles.

    Core Characteristics

  • Content-Style Separation: Independent manipulation of content and style

  • Artistic Rendering: Application of artistic styles to photographs

  • Perceptual Loss: Optimisation in feature space rather than pixel space

  • Real-Time Processing: Fast neural style transfer networks

  • Multi-Style Learning: Single model for multiple artistic styles

    Relationships

  • Subclass: Computer Vision, Image Generation

  • Related: Image-to-Image Translation, Neural Networks

  • Methods: Neural Style Transfer, Fast Style Transfer, Arbitrary Style Transfer

  • Applications: Photo Editing, Art Creation, Video Stylisation

    Key Literature

    1. Gatys, L. A., Ecker, A. S., & Bethge, M. (2016). “Image style transfer using convolutional neural networks.” CVPR, 2414-2423.

    2. Johnson, J., Alahi, A., & Fei-Fei, L. (2016). “Perceptual losses for real-time style transfer and super-resolution.” ECCV, 694-711.

    See Also

  • Image Generation

  • Image to Image Translation

  • Convolutional Neural Network

    Core Characteristics

  • Content-Style Separation: Independent manipulation of content and style

  • Artistic Rendering: Application of artistic styles to photographs

  • Perceptual Loss: Optimisation in feature space rather than pixel space

  • Real-Time Processing: Fast neural style transfer networks

  • Multi-Style Learning: Single model for multiple artistic styles

    Relationships

  • Subclass: Computer Vision, Image Generation

  • Related: Image-to-Image Translation, Neural Networks

  • Methods: Neural Style Transfer, Fast Style Transfer, Arbitrary Style Transfer

  • Applications: Photo Editing, Art Creation, Video Stylisation

    Key Literature

    1. Gatys, L. A., Ecker, A. S., & Bethge, M. (2016). “Image style transfer using convolutional neural networks.” CVPR, 2414-2423.

    2. Johnson, J., Alahi, A., & Fei-Fei, L. (2016). “Perceptual losses for real-time style transfer and super-resolution.” ECCV, 694-711.

    See Also

  • Image Generation

  • Image to Image Translation

  • Convolutional Neural Network

Provenance