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20242026
most citedNon-confusing Generation of Customized Concepts in Diffusion Models

1 citations · 1 across the 10 of their papers we have counts for

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cs.CV2025

SpriteHand: Real-Time Versatile Hand-Object Interaction with Autoregressive Video Generation

Zisu Li, Hengye Lyu, Jiaxin Shi +4

Modeling and synthesizing complex hand-object interactions remains a significant challenge, even for state-of-the-art physics engines. Conventional simulation-based approaches rely…

cs.HC2025

Generative Augmented Reality: Paradigms, Technologies, and Future Applications

Chen Liang, Jiawen Zheng, Yufeng Zeng +7

This paper introduces Generative Augmented Reality (GAR) as a next-generation paradigm that reframes augmentation as a process of world re-synthesis rather than world composition b…

cs.CV2025

Reasoning Physical Video Generation with Diffusion Timestep Tokens via Reinforcement Learning

Wang Lin, Liyu Jia, Wentao Hu +6

Despite recent progress in video generation, producing videos that adhere to physical laws remains a significant challenge. Traditional diffusion-based methods struggle to extrapol…

cs.CV2025

Generalized Visual Relation Detection with Diffusion Models

Kaifeng Gao, Siqi Chen, Hanwang Zhang +3

Visual relation detection (VRD) aims to identify relationships (or interactions) between object pairs in an image. Although recent VRD models have achieved impressive performance,…

cs.CV2025

Seeing World Dynamics in a Nutshell

Qiuhong Shen, Xuanyu Yi, Mingbao Lin +3

We consider the problem of efficiently representing casually captured monocular videos in a spatially- and temporally-coherent manner. While existing approaches predominantly rely…