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8 kirjaa tekijältä Victor Perez

The Color Management Handbook for Visual Effects Artists
Victor Perez brings together the research and expertise of world-leading color scientists to create a comprehensive guide for visual effects (VFX) artists in color management. This book explores the latest standards of high dynamic range (HDR) and Academy Color Encoding System (ACES) workflows, in an easily digestible and widely applicable resource. Its purpose is to make artists confident and familiar with Color Management and its science, to improve the quality of visual effects worldwide.Without assuming any previous knowledge, this self-contained book builds the reader’s understanding from the ground up, exploring all the elements of the color workflow at a scientific level. It covers how to set up a consistent pipeline in relation to other departments, inside and outside visual effects, from camera to screen, so everybody is aligned to the same standards, preserving color qualities and consistency while maintaining the artistic intent end to end. It also delves into all the integral concepts for color management, ranging from color theory to digital image fundamentals, and much more.This book is an invaluable resource for VFX students and professionals who want to be well informed about the latest HDR and ACES pipelines, as well as those at every level of production wishing to gain a deeper understanding of managing color in visual effects projects.
The Color Management Handbook for Visual Effects Artists
Victor Perez brings together the research and expertise of world-leading color scientists to create a comprehensive guide for visual effects (VFX) artists in color management. This book explores the latest standards of high dynamic range (HDR) and Academy Color Encoding System (ACES) workflows, in an easily digestible and widely applicable resource. Its purpose is to make artists confident and familiar with Color Management and its science, to improve the quality of visual effects worldwide.Without assuming any previous knowledge, this self-contained book builds the reader’s understanding from the ground up, exploring all the elements of the color workflow at a scientific level. It covers how to set up a consistent pipeline in relation to other departments, inside and outside visual effects, from camera to screen, so everybody is aligned to the same standards, preserving color qualities and consistency while maintaining the artistic intent end to end. It also delves into all the integral concepts for color management, ranging from color theory to digital image fundamentals, and much more.This book is an invaluable resource for VFX students and professionals who want to be well informed about the latest HDR and ACES pipelines, as well as those at every level of production wishing to gain a deeper understanding of managing color in visual effects projects.
Generative AI for Film and VFX

Generative AI for Film and VFX

Victor Perez

TAYLOR FRANCIS LTD
2026
nidottu
This book provides a rigorous, practice-led introduction to generative AI for screen-based media, combining foundational theory with applied workflows grounded in professional production environments. Written by an experienced visual effects supervisor and educator, the book offers an authoritative framework for understanding and responsibly adopting AI technologies within contemporary visual effects pipelines. It is structured around six core domains: computer-science fundamentals of artificial intelligence and machine learning, hardware and performance considerations, ethics and legal responsibilities, practical use of the open-source ComfyUI framework, professional integration with NUKE, and the broader ecosystem of community-driven tools and resources. Key concepts, including neural networks, diffusion models, latent space, ControlNets, and LoRAs, are explained from first principles and contextualised for creative practice. Particular attention is given to authorship, copyright, data provenance, and ethical use, ensuring readers can critically assess both the capabilities and limitations of generative systems. Intended for academic libraries, educators, researchers, and industry professionals, this book functions as both a teaching resource and a long-term reference. It supports curricula in visual effects, film production, digital media, and creative technologies, while also serving practitioners seeking a structured, open-source-oriented approach to integrating generative AI into professional workflows with technical clarity and ethical awareness.
Generative AI for Film and VFX

Generative AI for Film and VFX

Victor Perez

TAYLOR FRANCIS LTD
2026
sidottu
This book provides a rigorous, practice-led introduction to generative AI for screen-based media, combining foundational theory with applied workflows grounded in professional production environments. Written by an experienced visual effects supervisor and educator, the book offers an authoritative framework for understanding and responsibly adopting AI technologies within contemporary visual effects pipelines. It is structured around six core domains: computer-science fundamentals of artificial intelligence and machine learning, hardware and performance considerations, ethics and legal responsibilities, practical use of the open-source ComfyUI framework, professional integration with NUKE, and the broader ecosystem of community-driven tools and resources. Key concepts, including neural networks, diffusion models, latent space, ControlNets, and LoRAs, are explained from first principles and contextualised for creative practice. Particular attention is given to authorship, copyright, data provenance, and ethical use, ensuring readers can critically assess both the capabilities and limitations of generative systems. Intended for academic libraries, educators, researchers, and industry professionals, this book functions as both a teaching resource and a long-term reference. It supports curricula in visual effects, film production, digital media, and creative technologies, while also serving practitioners seeking a structured, open-source-oriented approach to integrating generative AI into professional workflows with technical clarity and ethical awareness.