neural-deferred-shading VS MICA

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

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
Source Code
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MICA

MICA - Towards Metrical Reconstruction of Human Faces [ECCV2022] (by Zielon)
3dmm Computer Vision Machine Learning neural-network Flame fitting-algorithm Optimization
Source Code
zielon.github.io
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neural-deferred-shading MICA
1 1
239 509
5.4% -
4.6 3.8
2 months ago 8 months ago
Python Python
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
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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.

MICA

Posts with mentions or reviews of MICA. 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 MICA you can also consider the following projects:

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

DAD-3DHeads - Official repo for DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image (CVPR 2022).

GAN2Shape - Code for GAN2Shape (ICLR2021 oral)

INSTA - INSTA - Instant Volumetric Head Avatars [CVPR2023]

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

ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models

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

neural-deferred-shading vs ECON MICA vs DAD-3DHeads neural-deferred-shading vs GAN2Shape MICA vs INSTA neural-deferred-shading vs surface_normal_uncertainty MICA vs ludwig neural-deferred-shading vs 3d-transforms neural-deferred-shading vs 2dimageto3dmodel neural-deferred-shading vs BlenderNeRF