19 papers
OFGS: On-the-Fly Feed-Forward 3D Gaussian Splatting from Unposed Images
Ruiyang Chen, Feiran Li, Chu Zhou +3
Feed-forward 3D Gaussian Splatting (3DGS) enables efficient and high-fidelity novel view synthesis (NVS) from offline image sequences. However, achieving on-the-fly NVS from unpose…
NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results
Xin Li, Yeying Jin, Suhang Yao +95
This paper presents an overview of the NTIRE 2026 Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images. Building upon the success of the first edition, this c…
PolarVLM: Bridging the Semantic-Physical Gap in Vision-Language Models
Yuliang Li, Chu Zhou, Heng Guo +3
Mainstream vision-language models (VLMs) fundamentally struggle with severe optical ambiguities, such as reflections and transparent objects, due to the inherent limitations of sta…
NRGS: Neural Regularization for Robust 3D Semantic Gaussian Splatting
Zaiyan Yang, Xinpeng Liu, Heng Guo +3
We propose a neural regularization method that refines the noisy 3D semantic field produced by lifting multi-view inconsistent 2D features, in order to obtain an accurate and robus…
High-Resolution Single-Shot Polarimetric Imaging Made Easy
Shuangfan Zhou, Chu Zhou, Heng Guo +4
Polarization-based vision has gained increasing attention for providing richer physical cues beyond RGB images. While achieving single-shot capture is highly desirable for practica…
PolGS++: Physically-Guided Polarimetric Gaussian Splatting for Fast Reflective Surface Reconstruction
Yufei Han, Chu Zhou, Youwei Lyu +6
Accurate reconstruction of reflective surfaces remains a fundamental challenge in computer vision, with broad applications in real-time virtual reality and digital content creation…