State of the art on diffusion models for visual computing

R Po, W Yifan, V Golyanik, K Aberman… - Computer Graphics …, 2024 - Wiley Online Library
The field of visual computing is rapidly advancing due to the emergence of generative
artificial intelligence (AI), which unlocks unprecedented capabilities for the generation …

Vbench: Comprehensive benchmark suite for video generative models

Z Huang, Y He, J Yu, F Zhang, C Si… - Proceedings of the …, 2024 - openaccess.thecvf.com
Video generation has witnessed significant advancements yet evaluating these models
remains a challenge. A comprehensive evaluation benchmark for video generation is …

Ccedit: Creative and controllable video editing via diffusion models

R Feng, W Weng, Y Wang, Y Yuan… - Proceedings of the …, 2024 - openaccess.thecvf.com
In this paper we present CCEdit a versatile generative video editing framework based on
diffusion models. Our approach employs a novel trident network structure that separates …

Diffusion model-based video editing: A survey

W Sun, RC Tu, J Liao, D Tao - ar**_with_Interactive_Semantic_Point_Correspondence_CVPR_2024_paper.pdf" data-clk="hl=fr&sa=T&oi=gga&ct=gga&cd=9&d=152269859512537972&ei=VpamZ_DJHLiM6rQPjbewqAU" data-clk-atid="dFM-ZqH4HAIJ" target="_blank">[PDF] thecvf.com

Videoswap: Customized video subject swap** with interactive semantic point correspondence

Y Gu, Y Zhou, B Wu, L Yu, JW Liu… - Proceedings of the …, 2024 - openaccess.thecvf.com
Current diffusion-based video editing primarily focuses on structure-preserved editing by
utilizing various dense correspondences to ensure temporal consistency and motion …