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20232026
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cs.CV2026

PhysAlign: Physics-Coherent Image-to-Video Generation through Feature and 3D Representation Alignment

Zhexiao Xiong, Yizhi Song, Liu He +4

Video Diffusion Models (VDMs) offer a promising approach for simulating dynamic scenes and environments, with broad applications in robotics and media generation. However, existing…

cs.CV2025

MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models

Hang Hua, Ziyun Zeng, Yizhi Song +5

Recent multimodal image generators such as GPT-4o, Gemini 2.0 Flash, and Gemini 2.5 Pro excel at following complex instructions, editing images and maintaining concept consistency.…

cs.CV2024

MetaShadow: Object-Centered Shadow Detection, Removal, and Synthesis

Tianyu Wang, Jianming Zhang, Haitian Zheng +7

Shadows are often under-considered or even ignored in image editing applications, limiting the realism of the edited results. In this paper, we introduce MetaShadow, a three-in-one…

cs.CV2024

DIVE: Taming DINO for Subject-Driven Video Editing

Yi Huang, Wei Xiong, He Zhang +4

Building on the success of diffusion models in image generation and editing, video editing has recently gained substantial attention. However, maintaining temporal consistency and…

cs.CV2024

Refine-by-Align: Reference-Guided Artifacts Refinement through Semantic Alignment

Yizhi Song, Liu He, Zhifei Zhang +8

Personalized image generation has emerged from the recent advancements in generative models. However, these generated personalized images often suffer from localized artifacts such…

cs.CV2024

GroundingBooth: Grounding Text-to-Image Customization

Zhexiao Xiong, Wei Xiong, Jing Shi +3

Recent approaches in text-to-image customization have primarily focused on preserving the identity of the input subject, but often fail to control the spatial location and size of…