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cs.CV2026

Towards Robust Sequential Decomposition for Complex Image Editing

Zilai Zeng, Mingdeng Cao, Zijie Li +5

Recent advances in visual generative models have enabled high-fidelity image editing guided by human instructions. However, these models often struggle with complex instructions in…

cs.CV2025

ByteMorph: Benchmarking Instruction-Guided Image Editing with Non-Rigid Motions

Di Chang, Mingdeng Cao, Yichun Shi +7

Editing images with instructions to reflect non-rigid motions, camera viewpoint shifts, object deformations, human articulations, and complex interactions, poses a challenging yet…

cs.CV2025

VideoPainter: Any-length Video Inpainting and Editing with Plug-and-Play Context Control

Yuxuan Bian, Zhaoyang Zhang, Xuan Ju +4

Video inpainting, which aims to restore corrupted video content, has experienced substantial progress. Despite these advances, existing methods, whether propagating unmasked region…

cs.CV2024

Consistent Human Image and Video Generation with Spatially Conditioned Diffusion

Mingdeng Cao, Chong Mou, Ziyang Yuan +4

Consistent human-centric image and video synthesis aims to generate images or videos with new poses while preserving appearance consistency with a given reference image, which is c…

cs.CV2024

ReVideo: Remake a Video with Motion and Content Control

Chong Mou, Mingdeng Cao, Xintao Wang +3

Despite significant advancements in video generation and editing using diffusion models, achieving accurate and localized video editing remains a substantial challenge. Additionall…