Michael Niemeyer's starred repositories

PlotNeuralNet

Latex code for making neural networks diagrams

stylegan2

StyleGAN2 - Official TensorFlow Implementation

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kornia

Geometric Computer Vision Library for Spatial AI

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pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

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glow

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

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mitsuba2

Mitsuba 2: A Retargetable Forward and Inverse Renderer

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compare_gan

Compare GAN code.

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common-3d-test-models

Repository containing common 3D test models in original format with original source if known and obj mesh

Replica-Dataset

The Replica Dataset v1 as published in https://arxiv.org/abs/1906.05797 .

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GAN_stability

Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

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differentiable_volumetric_rendering

This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"

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texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

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FrEIA

Framework for Easily Invertible Architectures

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PointFlow

PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

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backpack

BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

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invertible-resnet

Official Code for Invertible Residual Networks

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stanford-shapenet-renderer

Scripts for batch rendering models using Blender. Tested with models from stanfords shapenet library.

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Pyrr

3D mathematical functions using NumPy

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stereo-magnification

Code accompanying the SIGGRAPH 2018 paper "Stereo Magnification: Learning View Synthesis using Multiplane Images"

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occupancy_flow

This repository contains the code for the ICCV 2019 paper "Occupancy Flow - 4D Reconstruction by Learning Particle Dynamics"

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AdversarialVariationalBayes

This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

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bps

Efficient Learning on Point Clouds with Basis Point Sets

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DeeperInverseCompositionalAlgorithm

Taking a Deeper Look at the Inverse Compositional Algorithm (CVPR 2019, Oral)

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simple-3dviz

A library for 3D visualization with moderngl

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texture_fields

This repository contains code for the paper 'Texture Fields: Learning Texture Representations in Function Space'.

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integer_discrete_flows

Code release for Hoogeboom, Emiel, Jorn WT Peters, Rianne van den Berg, and Max Welling. "Integer Discrete Flows and Lossless Compression." Conference on Neural Information Processing Systems (2019).

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data_aggregation

This repository contains the code for the CVPR 2020 paper "Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving"

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autonomousvision.github.io

Blog of the Autonomous Vision Group at MPI-IS Tübingen and University of Tübingen.

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slides

My public slides

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