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- NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results21
An overview of the NTIRE 2026 Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images demonstrates the growing progress in this challenging task.
- 3DOT: Texture Transfer for 3DGS Objects from a Single Reference Image8
3DSwapping is introduced, a 3D texture swapping method that integrates progressive generation, view-consistency gradient guidance, and prompt-tuned gradient guidance to achieve higher-fidelity texture transfer while preserving structural coherence across multiple viewpoints.
- GlowGS: Generative Semantic Feature Learning for 3D Gaussian Splatting in Nighttime Glow Scenes3
The GlowGS leverages a diffusion model and a Vision Foundation Model to compensate for missing structural cues, and enables 3DGS to optimize rendered novel views without requiring ground truth.
- UENR-600K: A Large-Scale Physically Grounded Dataset for Nighttime Video Deraining1
UENR-600K, a large-scale, physically grounded dataset containing 600,000 1080p frame pairs, is introduced to simulate rain as 3D particles within virtual environments and establishes a new state-of-the-art baseline, exploiting strong generative priors to almost entirely bridge the sim-to-real gap.
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Publication data from OpenAlex; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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