Michael Niemeyer

occupancy_networks. This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"

m-niemeyer.github.io. A lightweight and responsive website template that automatically crawls papers and talks from bibtex files

nerfacc. A General NeRF Acceleration Toolbox in PyTorch.

giraffe. This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"

monosdf. [NeurIPS'22] MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

modern-unix. A collection of modern/faster/saner alternatives to common unix commands.

google-research. Google Research

campari. [3DV'21] CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields

frequency_bias. Official code for "On the Frequency Bias of Generative Models", NeurIPS 2021

shape_as_points. [NeurIPS'21] Shape As Points: A Differentiable Poisson Solver

awesome-tips.

dm_pix. PIX is an image processing library in JAX, for JAX.

clean-fid. PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

cockpit. Cockpit: A Practical Debugging Tool for Training Deep Neural Networks

graf. Official code release for "GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis"

fiftyone. Refine high-quality datasets and visual AI models

U-2-Net. The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

clevr-dataset-gen. A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

awesome-scene-understanding. 😎 A list of awesome scene understanding papers.

STAR. ECCV2020 - Official code repository for the paper : STAR - A Sparse Trained Articulated Human Body Regressor

convolutional_occupancy_networks. [ECCV'20] Convolutional Occupancy Networks

cheatsheets. Official Matplotlib cheat sheets

pytorch-blender. :sweat_drops: Seamless, distributed, real-time integration of Blender into PyTorch data pipelines

UpConv. Repo for our CVPR Paper: Watch your Up-Convolution: CNN Based Generative Deep Neural Networks areFailing to Reproduce Spectral Distributions

StructuredNoiseInjection. TensorFlow implementation of the CVPR2020 paper: Disentangled Image Generation Through Structured Noise Injection

Structured3D. [ECCV'20] Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling

pytorch-summary. Model summary in PyTorch similar to `model.summary()` in Keras

3d-photo-inpainting. [CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting

unsup3d. (CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

torchdyn. A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

PlotNeuralNet. Latex code for making neural networks diagrams

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

simple-3dviz. A library for 3D visualization with moderngl

Pyrr. 3D mathematical functions using NumPy

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

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

FrEIA. Framework for Easily Invertible Architectures

mitsuba2. Mitsuba 2: A Retargetable Forward and Inverse Renderer

pytorch3d. PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

stylegan2. StyleGAN2 - Official TensorFlow Implementation

bps. Efficient Learning on Point Clouds with Basis Point Sets

PointFlow. PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

extreme-view-synth. Python

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).

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

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

slides. My public slides

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

kornia. 🐍 Geometric Computer Vision Library for Spatial AI

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

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

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

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)

invertible-resnet. Official Code for Invertible Residual Networks

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

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

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

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

compare_gan. Compare GAN code.

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

gensim. Topic Modelling for Humans

opencv. Open Source Computer Vision Library