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FrugalNeRF: Fast Convergence for Extreme Few-shot Novel View Synthesis without Learned Priors
Chin-Yang Lin, Chung-Ho Wu, Chang-Han Yeh +3
Neural Radiance Fields (NeRF) face significant challenges in extreme few-shot scenarios, primarily due to overfitting and long training times. Existing methods, such as FreeNeRF an…
BoostMVSNeRFs: Boosting MVS-based NeRFs to Generalizable View Synthesis in Large-scale Scenes
Chih-Hai Su, Chih-Yao Hu, Shr-Ruei Tsai +3
While Neural Radiance Fields (NeRFs) have demonstrated exceptional quality, their protracted training duration remains a limitation. Generalizable and MVS-based NeRFs, although cap…
DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration Models
Chang-Han Yeh, Hau-Shiang Shiu, Chin-Yang Lin +4
We present DiffIR2VR-Zero, a zero-shot framework that enables any pre-trained image restoration diffusion model to perform high-quality video restoration without additional trainin…