SPARF: Neural Radiance Fields from Sparse and Noisy Poses

Author:

Truong Prune1,Rakotosaona Marie-Julie2,Manhardt Fabian2,Tombari Federico2

Affiliation:

1. ETH Zurich

2. Google

Publisher

IEEE

Reference60 articles.

1. D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

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4. NeRS: Neural reflectance surfaces for sparse-view 3d reconstruction in the wild;zhang;Conference on Neural Information Processing Systems,0

5. End-to-end learning of keypoint detection and matching for relative pose estimation;fond;CoRR,2021

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1. LitNeRF: Intrinsic Radiance Decomposition for High-Quality View Synthesis and Relighting of Faces;SIGGRAPH Asia 2023 Conference Papers;2023-12-10

2. VSCHH 2023: A Benchmark for the View Synthesis Challenge of Human Heads;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

3. ILSH: The Imperial Light-Stage Head Dataset for Human Head View Synthesis;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

4. Survey on low-level controllable image synthesis with deep learning;Electronic Research Archive;2023

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