Vincent Sitzmann

awesome-implicit-representations. A curated list of resources on implicit neural representations.

siren. Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

phd-master-application-docs. A collection of the application documents I used to apply to universities in the US.

scene-representation-networks. Official Pytorch implementation of Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations

deepvoxels. Python

light-field-networks. Python

xfactor-nvs. Public code for XFactor: Introduces the first geometry-free model to achieve true self-supervised / pose-free Novel View Synthesis (NVS) by learning transferable latent camera pose representations.

deepoptics. Python

metasdf. Official implementation of "MetaSDF: Meta-learning Signed Distance Functions"

shapenet_renderer. A clean, compact renderer for spherical images of shapenet objects in blender <2.8.

pytorch_prototyping. Custom pytorch modules with sane default parameters useful for model prototyping. (U-Net, upsampling, downsampling...)

vr-saliency. Jupyter Notebook

neural-isometries. Official JAX implementation of neural isometries - taming transformations for equivariant ML

snli-attention-tensorflow. Tensorflow implementation of the Long-Short Term Memory Network with Deep Attention Fusion for the SNLI dataset.

vsitzmann.github.io. HTML

6.8300-pset-1. Python

cifar10_denoising. A tiny example application of pytorch_prototyping, with an example training script.

pyrender. Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.

generative-query-network-pytorch. Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"

show-attend-and-tell-tensorflow. tensorflow implementation of show attend and tell

tensorflow. Computation using data flow graphs for scalable machine learning

IBRNet. Python