A framework that combines MLLM-based image enhancement with a medium-aware 3D Gaussian Splatting model to reconstruct and render smoke scenes.
Teaching tailored to talent: Adverse weather restoration via prompt pool and depth-anything con- straint
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The NTIRE 2026 challenge reports strong performance from 17 teams on raindrop removal for dual-focused day and night images using an adjusted real-world dataset with 14,139 training images.
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3D Smoke Scene Reconstruction Guided by Vision Priors from Multimodal Large Language Models
A framework that combines MLLM-based image enhancement with a medium-aware 3D Gaussian Splatting model to reconstruct and render smoke scenes.
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NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results
The NTIRE 2026 challenge reports strong performance from 17 teams on raindrop removal for dual-focused day and night images using an adjusted real-world dataset with 14,139 training images.