Michael Niemeyer's starred repositories
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
modern-unix
A collection of modern/faster/saner alternatives to common unix commands.
google-research
Google Research
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
clevr-dataset-gen
A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
awesome-scene-understanding
😎 A list of awesome scene understanding papers.
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
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