activity
20212026
most citedDeep Texture-Aware Features for Camouflaged Object Detection

32 citations · 39 across the 9 of their papers we have counts for

collaborators
Showing cs.CVShow all

17 papers · 1 filter

cs.CV2026

NimbusGS: Unified 3D Scene Reconstruction under Hybrid Weather

Yanying Li, Jinyang Li, Shengfeng He +3

We present NimbusGS, a unified framework for reconstructing high-quality 3D scenes from degraded multi-view inputs captured under diverse and mixed adverse weather conditions. Unli…

cs.CV2026

OmniVTON++: Training-Free Universal Virtual Try-On with Principal Pose Guidance

Zhaotong Yang, Yong Du, Shengfeng He +5

Image-based Virtual Try-On (VTON) concerns the synthesis of realistic person imagery through garment re-rendering under human pose and body constraints. In practice, however, exist…

cs.CV2026

SHIFT: Motion Alignment in Video Diffusion Models with Adversarial Hybrid Fine-Tuning

Xi Ye, Wenjia Yang, Yangyang Xu +4

Image-conditioned video diffusion models achieve impressive visual realism but often suffer from weakened motion fidelity, e.g., reduced motion dynamics or degraded long-term tempo…

cs.CV2026

MotionAdapter: Video Motion Transfer via Content-Aware Attention Customization

Zhexin Zhang, Yangyang Xu, Yifeng Zhu +4

Recent advances in diffusion-based text-to-video models, particularly those built on the diffusion transformer architecture, have achieved remarkable progress in generating high-qu…

cs.CV2025

DeshadowMamba: Deshadowing as 1D Sequential Similarity

Zhaotong Yang, Yi Chen, Yanying Li +5

Recent deep models for image shadow removal often rely on attention-based architectures to capture long-range dependencies. However, their fixed attention patterns tend to mix illu…

cs.CV2025

Cross-Subject Mind Decoding from Inaccurate Representations

Yangyang Xu, Bangzhen Liu, Wenqi Shao +3

Decoding stimulus images from fMRI signals has advanced with pre-trained generative models. However, existing methods struggle with cross-subject mappings due to cognitive variabil…