SIGGRAPH 2026 Workshop

AI for Creative Visual Content Generation Editing and Understanding

Sunday, July 19 - Thursday, July 23, 2026

Course date/time: July 19, 2026, 9:00 AM - 12:00 PM PDT, Los Angeles, California, USA (Room 408 A at SIGGRAPH)

Workshop date/time: July 22, 2026, 9:00 AM - 12:05 PM PDT, Los Angeles, California, USA (Room 406 AB at SIGGRAPH)

SIGGRAPH 2026 Official Website: https://s2026.siggraph.org/


About

This workshop is for the next installment of the AI for Creative Visual Content Generation Editing and Understanding (CVEU), which follows its success on the previous launch at CVPR'26, CVPR'25, CVPR'24, ICCV'23, ECCV'22, ICCV'21, a Generative Models Course at SIGGRAPH'24, SIGGRAPH'25, 2023 Paris ShortFest AI Film Festival, and 2025 Hong Kong HKUST AI Film Festival.

It brings together researchers, artists and entrepreneurs working on computer graphics, human computer interaction, computer vision, machine learning, and cognitive research. It aims to bring awareness of recent advances in machine learning technologies to enable assisted creative visual content creation and understanding. Find more at the SIGGRAPH'26 official link.

Detailed Program

Tentative Course Schedule

Time
19 July, Room 408 A
Module
9:00 AM - 9:30 AM Part 1: Landscape of Controllable AI
9:30 AM - 10:05 AM Part 2: Core Principles of Multi-Agent Systems
10:05 AM - 10:15 AM Break
10:15 AM - 10:40 AM Part 3: Generative AI & Graphics Constraints
10:40 AM - 11:50 AM Part 4: Integration & Case Studies
11:50 AM - 12:00 PM Part 5: Future Roles & Closing
Tentative Workshop Schedule Time
22 July, Room 406 AB
Warm-up Session 9:00 AM - 9:05 AM
Keynote I: Or Patashnik 9:05 AM - 9:40 AM
Keynote II: Naomi Ken Korem 9:40 AM - 10:15 AM
Coffee Break & Workshop Group Photo 10:15 AM - 10:25 AM
Keynote III: Richard Chuang 10:25 AM - 11:00 AM
Keynote IV: Maneesh Agrawala 11:00 AM - 11:35 AM
Panel Discussion 11:35 AM - 12:00 PM
Closing Remarks 12:00 PM - 12:05 PM


Participants from



Organizers

Workshop Committee

Songlin Yang
HKUST
Ozgur Kara
UIUC
Jiaju Ma
Stanford
Lvmin Zhang
Stanford University
Houyuan Chen
HKUST
Xuyi Yang
HKUST
Fabian Caba Heilbron
Adobe Research
Maneesh Agrawala
Stanford University
Anyi Rao
HKUST

Course Committee

Zheng Wei
KAIST
Yuying Tang
HKUST
Mia Tang
Stanford
Anyi Rao
HKUST