activity
20232026
most citedDiffusionMat: Alpha Matting as Sequential Refinement Learning

1 citations · 1 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

18 papers · 1 filter

cs.CV2026

Bridging Event Streams and DiT: Event-Guided Video Frame Interpolation

Guixu Lin, Yuyang Yu, Xiang Ji +6

Latent diffusion models have recently advanced video frame interpolation by synthesizing intermediate frames between input images. However, handling large temporal gaps and complex…

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

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

FlashMesh: Faster and Better Autoregressive Mesh Synthesis via Structured Speculation

Tingrui Shen, Yiheng Zhang, Chen Tang +6

Autoregressive models can generate high-quality 3D meshes by sequentially producing vertices and faces, but their token-by-token decoding results in slow inference, limiting practi…

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…