NextFace VS neural-deferred-shading

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

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NextFace neural-deferred-shading
1 1
672 239
- 5.4%
2.9 4.6
7 months ago 2 months ago
Jupyter Notebook Python
GNU General Public License v3.0 only 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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

NextFace

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

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 NextFace and neural-deferred-shading you can also consider the following projects:

cocp - Source code for the examples accompanying the paper "Learning convex optimization control policies."

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

DeepLearningExamples - State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

GAN2Shape - Code for GAN2Shape (ICLR2021 oral)

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.

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

PySyft - Perform data science on data that remains in someone else's server

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