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20242026
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cs.CV2026

SimRecon: SimReady Compositional Scene Reconstruction from Real Videos

Chong Xia, Kai Zhu, Zizhuo Wang +3

Compositional scene reconstruction seeks to create object-centric representations rather than holistic scenes from real-world videos, which is natively applicable for simulation an…

cs.CV2025

State Space Prompting via Gathering and Spreading Spatio-Temporal Information for Video Understanding

Jiahuan Zhou, Kai Zhu, Zhenyu Cui +3

Recently, pre-trained state space models have shown great potential for video classification, which sequentially compresses visual tokens in videos with linear complexity, thereby…

cs.CV2025

FACM: Flow-Anchored Consistency Models

Yansong Peng, Kai Zhu, Yu Liu +4

Continuous-time Consistency Models (CMs) promise efficient few-step generation but face significant challenges with training instability. We argue this instability stems from a fun…

cs.CV2025

Semantically-Aware Game Image Quality Assessment

Kai Zhu, Vignesh Edithal, Le Zhang +2

Assessing the visual quality of video game graphics presents unique challenges due to the absence of reference images and the distinct types of distortions, such as aliasing, textu…

cs.CV2024

GUNet: A Graph Convolutional Network United Diffusion Model for Stable and Diversity Pose Generation

Shuowen Liang, Sisi Li, Qingyun Wang +3

Pose skeleton images are an important reference in pose-controllable image generation. In order to enrich the source of skeleton images, recent works have investigated the generati…