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GitHub / Gorilla-Lab-SCUT / LPDC-Net

CVPR2021 paper "Learning Parallel Dense Correspondence from Spatio-Temporal Descriptorsfor Efficient and Robust 4D Reconstruction"

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gorilla-Lab-SCUT%2FLPDC-Net

Stars: 28
Forks: 1
Open Issues: 0

License: mit
Language: Python
Repo Size: 21.6 MB
Dependencies: 4

Created: about 3 years ago
Updated: over 1 year ago
Last pushed: almost 3 years ago
Last synced: over 1 year ago

Topics: 3d-from-sensors, 3d-reconstruction, 4d-reconstruction, cvpr2021, implicit-field, neural-ode, shape-correspondence, shape-generation

Files
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    Readme
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    Dependencies
    environment.yaml pypi
    im2mesh/utils/libkdtree/setup.py pypi
    im2mesh/utils/torchdiffeq/setup.py pypi