Sponsorship
This workshop is for the 6th installment of the AI for Creative Visual Content Generation Editing and Understanding (CVEU), which follows its success on the previous launch at SIGGRAPAH'25, CVPR'24, ICCV'23, ECCV'22, ICCV'21, a Generative Models Course at SIGGRAPAH'24, 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.
| Schedule | Nashville Time 2025-06-12 |
|---|---|
| Warm-up Session | 12:45 PM - 1:10 PM |
| Workshop Opening Remarks | 1:10 PM - 1:15 PM |
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Session I - Future of Generative AI Research
• Keynote I - Ishan Misra (1:15 PM – 1:40 PM) • Keynote II - Dan B. Goldman (1:40 PM – 2:05 PM) • Keynote III - Eli Shechtman (2:05 PM – 2:30 PM) • Roundtable Discussion (+ Ming-Hsuan Yang + Krishna Kumar Singh) (2:30 PM – 3:00 PM) |
1:15 PM - 3:00 PM |
| fal.ai - Generative Media in the Industry: How big is the wave? Jonathan Fischoff |
3:00 PM - 3:10 PM |
| Abaka AI - Frontiers of Generative AI and Datasets Yunfei Zhao |
3:10 PM - 3:20 PM |
| Poster Presentations | 3:00 PM - 3:45 PM |
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Session II - The Challenges of Generative Models in Practice
• Keynote I - Joel Simon (3:45 PM – 4:10 PM) • Keynote II - Matthias Niessner (4:10 PM – 4:35 PM) • Keynote III - Nataniel Ruiz (4:35 PM – 5:00 PM) • Roundtable Discussion (+ Du Tran) (5:00 PM – 5:30 PM) |
3:45 PM - 5:30 PM |
| Closing Remarks | 5:30 PM - 5:40 PM |
Songlin Yang, Ziyi Wu, Ruihan Zhang, Diksha Meghwal, Shuai Yang, Mia Tang, Sean J. Liu, Tong Wu, Srinivasarao Daruna, Liwenhan Xie, Yuzhong Huang, Yi Wang, Gyeongsik Moon, Gaurav Parmar, Or Patashnik
1. VerbDiff: Text-Only Diffusion Models with Enhanced Interaction Awareness
2. Unified Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off
3. Wobble-Free 3D Talking Heads with Audio Driven Gaussian Splatting
4. Understanding Generative AI Capabilities in Everyday Image Editing Tasks
5. Instruction-Guided Precise Image Editing Using Multimodal LLMs
6. EditAnyScene: Text-Driven 3D Scene Local Editing with Gaussian Splatting
7. Personalized Text-to-Image Generation with Auto-Regressive Models
8. AIti-FAct: Content-Based Image Distortion for Synthetic Dataset Generation
9. Bring Anyone To Any Wall
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025
This workshop is for the 6th installment of the AI for Creative Visual Content Generation Editing and Understanding (CVEU).
It brings together researchers working on computer vision, machine listening, computer graphics, human-computer interaction,
and cognitive research. It aims to bring awareness of recent advances in machine learning technologies to enable
assisted creative-video creation and understanding. The workshop will include invited talks by experts in the area and
give the community opportunities to share their work via oral and poster presentations. We encourage practitioners,
designers, students, post-docs, and researchers to submit work describing new ideas, work-in-progress, and previously
or concurrently published research.
| Track | Description | Important Dates (PST) |
|---|---|---|
| In-proceeding Track |
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| Extended Abstract Track |
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| Invited Submission Track |
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If you want to explore with us more about how AI is shaping the future of filmmaking, we invite you to tune in to podcast Empowering Storytellers .
Governor, Asia-Pacific Region, Society of Motion Picture and Television Engineers (SMPTE)
Senior 3D Generalist & Technical Advisor, Wētā Workshop
Art Director, Wētā Workshop
Dean, School of Film and Television, The Hong Kong Academy for Performing Arts
2D Animator & Motion Designer