This workshop is for the 4th installment of the AI for Creative Video Editing and Understanding (CVEU) focusing on the future of generative visual art, which follows its success on the previous launch at ICCV'23, ECCV'22 and ICCV'21.
The workshop brings together researchers, artists and entrepreneurs working on computer vision, machine learning, computer graphics, human computer interaction, and cognitive research.
It aims to bring awareness of recent advances in machine learning technologies to enable assisted creative visual content creation and understanding.
Discuss recent advances in creative visual content editing, generation and understanding, including:
A special film session showcasing submissions to AI ShortFest 2023, exciting new creative Film Festival. Get a sneak peek of this year's trailer:
Schedule | Seattle Time 2024-06-18 8:00 AM |
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Warm-up Session | 08:00 AM - 08:25 AM | - |
Workshop Opening Remarks | 08:25 AM - 08:30 AM | - |
Session I -
Is AI Art? How Machines Change Art?
Keynote I by Aaron Hertzmann Keynote II by Jiabin Huang Keynote III by Anastasis Germanidis Roundtable Discussion (30 mins) |
08:30 AM - 10:00 AM | - |
Session II -
AI Creative Tools, Visual Effects and Movie Industry
Keynote I by Taesung Park Keynote II by Tim Brooks Keynote III by Paul Debevec Roundtable Discussion, plus Jiaming Song, Jon Barron (30 mins) |
10:20 AM - 11:50 AM | - |
Launch Break | 11:50 AM - 2:00 PM | - |
Session III -
Big Industry Models
Keynote I by Jianchao Yang Keynote II by Dumitru Erhan Keynote III by Chenlin Meng Roundtable Discussion, plus Maneesh Agrawala (30 mins) |
02:00 PM - 03:30 PM | - |
Coffer break | 03:30 PM - 04:00 PM | - |
Session IV -
Problems of Generative Models in Practice
Keynote I by Junyan Zhu Keynote II by Jack Parker-Holder and Jimmy Shi Keynote III by Jeffrey Bigham Roundtable Discussion (30 mins) |
04:00 PM - 05:30 PM | - |
Closing Remarks | 05:30 PM - 05:40 PM | - |
Title | Venue | Link |
---|---|---|
As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors | CVPR'24 | Paper Webpage |
Posterior Distillation Sampling | CVPR'24 | Paper Webpage |
RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models | CVPR'24 (highlight) | Paper Webpage |
Look, Listen and Recognise: character-aware audio-visual subtitling | ICASSP'24 | Paper Webpage |
Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models | CVPR'24 | Paper Webpage |
High-fidelity 3D GAN Inversion by Pseudo-multi-view Optimization | CVPR'23 | Paper Webpage |
This workshop 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. Topics of interest include but are not limited to:
This CVPR24 edition, we only run an invited paper track. Other tracks will come back in our next edition. The Invited Submission Track welcomes published papers on the topics summarized above. We will invite the accepted papers to be presented during the workshop.
The papers submitted to the Invited Submission Track must be published work (e.g., accepted by CVPR24) related to topics of the CVEU workshop. All the submitted papers will have the opportunity to be presented during the workshop.
Please complete this Google Form to submit your paper.