differential_surface_representation icon indicating copy to clipboard operation
differential_surface_representation copied to clipboard

Code for the paper Shape Reconstruction by Learning Differentiable Surface Representations accepted to CVPR'20

Results 7 differential_surface_representation issues
Sort by recently updated
recently updated
newest added

Bumps [pillow](https://github.com/python-pillow/Pillow) from 6.1.0 to 9.3.0. Release notes Sourced from pillow's releases. 9.3.0 https://pillow.readthedocs.io/en/stable/releasenotes/9.3.0.html Changes Initialize libtiff buffer when saving #6699 [@​radarhere] Limit SAMPLESPERPIXEL to avoid runtime DOS #6700 [@​wiredfool]...

dependencies

Bumps [numpy](https://github.com/numpy/numpy) from 1.17.2 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependencies

Bumps [opencv-contrib-python-headless](https://github.com/skvark/opencv-python) from 4.1.1.26 to 4.1.2.30. Release notes Sourced from opencv-contrib-python-headless's releases. 4.1.2.30 opencv-python: https://pypi.org/project/opencv-python/ opencv-contrib-python: https://pypi.org/project/opencv-contrib-python/ opencv-python-headless: https://pypi.org/project/opencv-python-headless/ opencv-contrib-python-headless: https://pypi.org/project/opencv-contrib-python-headless/ OpenCV version 4.1.2. Changes: Python 3.8 builds added to...

dependencies

https://github.com/bednarikjan/differential_surface_representation/blob/44b19b8ea0a6579cf6531cd21ed6104d33f43214/model.py#L223-L242 Given that each batch contains `B` different instances of shapes, shouldn't `muE` & `muG` be computed separately for each instance, instead of over the entire batch?

Bumps [pyyaml](https://github.com/yaml/pyyaml) from 5.1.2 to 5.4. Changelog Sourced from pyyaml's changelog. 5.4 (2021-01-19) yaml/pyyaml#407 -- Build modernization, remove distutils, fix metadata, build wheels, CI to GHA yaml/pyyaml#472 -- Fix for...

dependencies

Thanks for the great work! The loss function in eq. 14 is supposed to encourage the area covered by each predicted patch is the same as the GT area. But...

Thank you for your great job! I am cruious about how to get Amount of overlap in your paper. I only find Validation part in train.py. I will be very...