Plenoxels: Radiance Fields without Neural Networks, Code release WIP

Dark magic delights in Python

This is the repository for how to research.

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

Official Repository for the ICCV 2021 paper "PixelSynth: Generating a 3D-Consistent Experience from a Single Image"

Stereo Radiance Fields (SRF) - Codebase

Lean mean (Neo)Vim machine, carefully crafted with ❤️ Use with latest Neovim or Vim 8

A list of papers for scene understanding in computer vision.

Unsupervised Discovery of Object Radiance Fields

A curated list of papers, code and resources pertaining to image composition, including image blending, image harmonization, shadow generation, and object placement.

Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence CVPR 2021

PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

Code for PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Relighting and Material Editing

This is the code for Deformable Neural Radiance Fields, a.k.a. Nerfies.

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

Open source repository for the code accompanying the paper 'Non-Rigid Neural Radiance Fields Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video'.

PyTorch implementation of paper "Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes"

Code for "Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans" CVPR 2021

Editing a Conditional Radiance Field

Dream to Control: Learning Behaviors by Latent Imagination

This repository will contain the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

A basic Ray Tracer that exploits numpy arrays and functions to work fast.