SAFA VS neural-deferred-shading

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

SAFA

Official Pytorch Implementation of 3DV2021 paper: SAFA: Structure Aware Face Animation. (by Qiulin-W)
face-animation 3dmm differentiable-rendering Gan 3d-graphics 3d-reconstruction reenactment pytorch3d flame-model video-editing image-manipulation
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neural-deferred-shading

Multi-View Mesh Reconstruction with Neural Deferred Shading (CVPR 2022) (by fraunhoferhhi)
3d-reconstruction Computer Vision Deep Learning differentiable-rendering inverse-graphics neural-rendering Pytorch computer-graphics Machine Learning Optimization triangle-mesh Neural Rendering inverse-rendering
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SAFA neural-deferred-shading
1 1
171 239
- 5.4%
0.0 4.6
over 1 year ago 2 months ago
Python Python
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
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SAFA

Posts with mentions or reviews of SAFA. 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 SAFA and neural-deferred-shading you can also consider the following projects:

text2mesh - 3D mesh stylization driven by a text input in PyTorch

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

pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch

GAN2Shape - Code for GAN2Shape (ICLR2021 oral)

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

SAFA vs text2mesh neural-deferred-shading vs ECON SAFA vs pytorch-CycleGAN-and-pix2pix neural-deferred-shading vs GAN2Shape neural-deferred-shading vs surface_normal_uncertainty neural-deferred-shading vs MICA neural-deferred-shading vs 3d-transforms neural-deferred-shading vs 2dimageto3dmodel neural-deferred-shading vs BlenderNeRF