Software & Data Downloads — Gear-NeRF
Gear Extensions of Neural Radiance Fields for novel-view synthesis, as well as tracking of any object in the scene in the novel view using prompts such as mouse clicks.
This repository contains the implementation of Gear-NeRF, an approach for novel-view synthesis, as well as tracking of any object in the scene in the novel view using prompts such as mouse clicks, described in the paper:
Xinhang Liu, Yu-Wing Tai, Chi-Keung Tang, Pedro Miraldo, Suhas Lohit, Moitreya Chatterjee, "Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-aware Spatio-Temporal Sampling", appeared in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Highlight).
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MERL Contacts
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Related Publications
- , "Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-aware Spatio-Temporal Sampling", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), May 2024, pp. 19667-19679.
BibTeX TR2024-042 PDF Videos Software- @inproceedings{Liu2024may,
- author = {Liu, Xinhang and Tai, Yu-wing and Tang, Chi-Keung and Miraldo, Pedro and Lohit, Suhas and Chatterjee, Moitreya},
- title = {{Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-aware Spatio-Temporal Sampling}},
- booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
- year = 2024,
- pages = {19667--19679},
- month = may,
- publisher = {IEEE},
- url = {https://www.merl.com/publications/TR2024-042}
- }
- , "Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-aware Spatio-Temporal Sampling", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), May 2024, pp. 19667-19679.
Software & Data Downloads
Access software at https://github.com/merlresearch/Gear-NeRF.