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20242026
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cs.CV2026

WildShadowRemover: In-the-Wild Video Shadow Removal via Detail-Preserving Video Diffusion Models

Jiamin Xu, Cong Wang, Zheng Dong +4

The paper introduces WildShadowRemover, a system that fine‑tunes a pretrained video diffusion model to remove shadows from real‑world videos while preserving fine details and tempo…

cs.CV2026

TurboGS: Accelerating 3D Gaussian Splatting via Error-Guided Sparse Pixel Sampling and Optimization

Zheng Dong, Daifei Qiu, Pinxuan Dai +5

Consumer-level applications require fast optimization of 3D Gaussian Splatting (3DGS) with high-fidelity novel view rendering. However, existing 3DGS acceleration approaches still…

cs.CV2025

OmniSR: Shadow Removal under Direct and Indirect Lighting

Jiamin Xu, Zelong Li, Yuxin Zheng +4

Shadows can originate from occlusions in both direct and indirect illumination. Although most current shadow removal research focuses on shadows caused by direct illumination, shad…

cs.CV2024

Detail-Preserving Latent Diffusion for Stable Shadow Removal

Jiamin Xu, Yuxin Zheng, Zelong Li +4

Achieving high-quality shadow removal with strong generalizability is challenging in scenes with complex global illumination. Due to the limited diversity in shadow removal dataset…

cs.CV2024

High-quality Surface Reconstruction using Gaussian Surfels

Pinxuan Dai, Jiamin Xu, Wenxiang Xie +3

We propose a novel point-based representation, Gaussian surfels, to combine the advantages of the flexible optimization procedure in 3D Gaussian points and the surface alignment pr…