NERF
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[논문리뷰] NeRFusion: Fusing Radiance Fields for Large-Scale Scene ReconstructionPapers 2023. 7. 27. 00:40
CVPR 2022 (Oral) [Paper][Code] Authors (University of California, San Diego, Adobe Research) Xiaoshuai Zhang Sai Bi Kalyan Sunkavalli Hao Su Zexiang Xu Citation @article{zhang2022nerfusion, author = {Zhang, Xiaoshuai and Bi, Sai and Sunkavalli, Kalyan and Su, Hao and Xu, Zexiang}, title = {NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction}, journal = {CVPR}, year = {2022}, }..
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[코드리뷰] Mip-NeRF Code BreakdownNeRF 2023. 7. 26. 17:58
* 해당 포스팅은 카카오에서 pytorch 코드로 구현한 Mip-NeRF 코드를 기반으로 합니다. ▶ Mip-NeRF 논문 리뷰: 2023.07.23 - [Papers] - [논문리뷰] Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields [논문리뷰] Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields ICCV 2021 [Paper][Code(Jax)] Authors (Google, UC Berkeley) Jonathan T. Barron Ben Mildenhall Matthew Tancik Peter Hedman Ricardo ..
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[논문리뷰] Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance FieldsPapers 2023. 7. 23. 18:25
ICCV 2021 [Paper][Code(Jax)] Authors (Google, UC Berkeley) Jonathan T. Barron Ben Mildenhall Matthew Tancik Peter Hedman Ricardo Martin-Brualla Pratul P. Srinivasan 0. Abstract 기존 모델의 문제점 Ray를 사용한다. NeRF는 aliased, blurred 된 이미지가 렌더링된다. Mip-NeRF 의 해결책 (proposed solutions of this paper) Ray가 아닌 Conical Frustrum을 사용한다. 연속된 스케일 값을 사용하여 장면을 해석한다. Multiscale Blender Dataset을 사용한다. Mip-NeRF 성능 Blender ..
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[코드리뷰] NeRF Code BreakdownNeRF 2023. 7. 3. 15:53
작성중 Prepare Dataset if not os.path.exists('tiny_nerf_data.npz'): !wget http://cseweb.ucsd.edu/~viscomp/projects/LF/papers/ECCV20/nerf/tiny_nerf_data.np data = np.load('tiny_nerf_data.npz') images = data['images'] poses = data['poses'] focal = data['focal'] print(f'Images shape: {images.shape}') print(f'Poses shape: {poses.shape}') print(f'Focal length: {focal}') height, width = images.shape[1:3]..