InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering

Author:

Kim Mijeong1,Seo Seonguk2,Han Bohyung3

Affiliation:

1. ECE

2. ASRI

3. IPAI, Seoul National University

Funder

IITP

NRF

Publisher

IEEE

Reference40 articles.

1. Stereo magnification: Learning view syn-thesis using multiplane images;zhou;ACM Trans Graph,2018

2. The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

3. Nerf-: Neural radiance fields without known camera parameters;wang;ArXiv Preprint,2021

4. Image Quality Assessment: From Error Visibility to Structural Similarity

5. Single-view view syn-thesis with multiplane images;tucker;CVPR,0

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1. Explicit Composition of Neural Radiance Fields by Learning an Occlusion Field;Artificial Intelligence;2024

2. SimpleNeRF: Regularizing Sparse Input Neural Radiance Fields with Simpler Solutions;SIGGRAPH Asia 2023 Conference Papers;2023-12-10

3. StructNeRF: Neural Radiance Fields for Indoor Scenes With Structural Hints;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-12

4. Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

5. V2Depth: Monocular Depth Estimation via Feature-Level Virtual-View Simulation and Refinement;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

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