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 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.
We welcome sponsorship from industry partners to support our workshop. Your sponsorship will help us organize a high-quality workshop and provide opportunities for students and researchers to participate.
Schedule | Nashville Time 2025-06-12 |
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Warm-up Session | 12:30 PM - 12:55 PM |
Workshop Opening Remarks | 12:55 PM - 1:00 PM |
Session I - Future of Generative AI Research
• Keynote I • Keynote II • Keynote III • Roundtable Discussion (30 mins) |
1:00 PM - 2:45 PM |
Coffee Break / Poster Presentations | 2:45 PM - 3:45 PM |
Session II - The Challenges of Generative Models in Practice
• Keynote I • Keynote II • Keynote III • Roundtable Discussion (30 mins) |
3:45 PM - 5:30 PM |
Closing Remarks | 5:30 PM - 5:40 PM |
Track | Description | Important Dates (PST) |
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In-proceeding Track |
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Extended Abstract Track |
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Invited Submission Track |
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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
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.
More details to come ...