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GitHub / zubair-irshad / NeO-360

Pytorch code for ICCV'23 paper. NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zubair-irshad%2FNeO-360

Stars: 221
Forks: 9
Open Issues: 4

License: other
Language: Python
Repo Size: 114 MB
Dependencies: 26

Created: 9 months ago
Updated: 17 days ago
Last pushed: 3 months ago
Last synced: 10 days ago

Commit Stats

Commits: 8
Authors: 2
Mean commits per author: 4.0
Development Distribution Score: 0.125
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/zubair-irshad/NeO-360

Topics: 3d, 3d-vision, artificial-intelligence, autonomous-driving, autonomous-vehicles, computer-vision, convolutional-neural-networks, deep-learning, differentiable-rendering, implicit-neural-representation, nerf, neural-fields, neural-networks, neural-radiance-fields, neural-rendering, novel-view-synthesis, reconstruction, residual-networks

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    Dependencies
    requirements.txt pypi