11 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…
FourierSR: A Fourier Token-based Plugin for Efficient Image Super-Resolution
Wenjie Li, Heng Guo, Yuefeng Hou +1
Image super-resolution (SR) aims to recover low-resolution images to high-resolution images, where improving SR efficiency is a high-profile challenge. However, commonly used units…
Seeing Through the Rain: Resolving High-Frequency Conflicts in Deraining and Super-Resolution via Diffusion Guidance
Wenjie Li, Jinglei Shi, Jin Han +2
Clean images are crucial for visual tasks such as small object detection, especially at high resolutions. However, real-world images are often degraded by adverse weather, and weat…