NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning

arXiv:2403.01325v1 Announce Type: new
Abstract: Neural Radiance Fields (NeRF) have garnered remarkable success in novel view synthesis. Nonetheless, the task of generating high-quality images for novel views persists as a critical challenge. While the existing efforts have exhibited commendable progress, capturing intricate details, enhancing textures, and achieving superior Peak Signal-to-Noise Ratio (PSNR) metrics warrant further focused attention and advancement. In this work, we propose NeRF-VPT, an innovative method for novel view synthesis to address these challenges. Our proposed NeRF-VPT employs …

arxiv cs.cv fields nerf neural radiance fields novel prompt prompt tuning type via view