differentiable_volumetric_rendering VS neural-deferred-shading

Compare differentiable_volumetric_rendering vs neural-deferred-shading and see what are their differences.

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differentiable_volumetric_rendering neural-deferred-shading
1 1
788 239
1.6% 5.4%
1.8 4.6
over 2 years ago 2 months ago
Python Python
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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differentiable_volumetric_rendering

Posts with mentions or reviews of differentiable_volumetric_rendering. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-18.

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.

What are some alternatives?

When comparing differentiable_volumetric_rendering and neural-deferred-shading you can also consider the following projects:

nvdiffrec - Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".

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

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.

GAN2Shape - Code for GAN2Shape (ICLR2021 oral)

VIBE - Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

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

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

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.

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.

BlenderNeRF - Easy NeRF synthetic dataset creation within Blender