neural-deferred-shading VS 3d-transforms

Compare neural-deferred-shading vs 3d-transforms and see what are their differences.

3d-transforms

3D Transforms is a library to easily work with 3D data and make 3D transformations. This library originally started as a few functions here and there for my own work which I then turned into a library. (by Rishit-dagli)
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neural-deferred-shading 3d-transforms
1 5
239 23
5.4% -
4.6 0.0
2 months ago about 1 year ago
Python Python
GNU General Public License v3.0 or later Apache License 2.0
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neural-deferred-shading

Posts with mentions or reviews of neural-deferred-shading. We have used some of these posts to build our list of alternatives and similar projects.

3d-transforms

Posts with mentions or reviews of 3d-transforms. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing neural-deferred-shading and 3d-transforms you can also consider the following projects:

ECON - [CVPR'23, Highlight] ECON: Explicit Clothed humans Optimized via Normal integration

calibrated-backprojection-network - PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)

GAN2Shape - Code for GAN2Shape (ICLR2021 oral)

pyntcloud - pyntcloud is a Python library for working with 3D point clouds.

surface_normal_uncertainty - (ICCV 2021 - oral) Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation

nerfstudio - A collaboration friendly studio for NeRFs

MICA - MICA - Towards Metrical Reconstruction of Human Faces [ECCV2022]

unsupervised-depth-completion-visual-inertial-odometry - Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

2dimageto3dmodel - We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.

python-play3d - Basic 3D world playground with animations based on 2D.

BlenderNeRF - Easy NeRF synthetic dataset creation within Blender

curated-list-of-awesome-3D-Morphable-Model-software-and-data - The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.