shekshaa

gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

shap-e

Generate 3D objects conditioned on text or images

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

pytorch3d

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

nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

awesome-tips

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

siren

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

ddim

Denoising Diffusion Implicit Models

liif

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

TensoRF

[ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields

awesome-3D-generation

A curated list of awesome 3d generation papers

stylegan-xl

[SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

e3nn

A modular framework for neural networks with Euclidean symmetry

volsdf

NeRV

Official Pytorch implementation for video neural representation (NeRV)

healpy

Python healpix maps tools

topaz

Pipeline for particle picking in cryo-electron microscopy images using convolutional neural networks trained from positive and unlabeled examples. Also featuring micrograph and tomogram denoising with DNNs.

colmap-parameters

Some information about parameters and options available in COLMAP - SfM & MVS software. https://colmap.github.io

wire

wavelet implicit neural representations

Gaussian-Activated-Radiance-Fields

[ECCV 2022 Oral] GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction & Pose Estimation

HNeRV

Official Pytorch implementation for HNeRV: a hybrid video neural representation (CVPR 2023)

Burstormer

SOTA for Burst Super-resolution, Low-light Burst Image Enhancement, Burst Image De-noising

fuzzy-metaballs

vistext

VisText is a benchmark dataset for semantically rich chart captioning.

shapenet_renderer

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

SoaP

Official code repository for the paper: "Shakes on a Plane: Unsupervised Depth Estimation from Unstabilized Photography"

Pytorch-Backprojection

This code accompanies "Differentiable probabilistic models of scientific imaging with the Fourier slice theorem", UAI 2019

Poly_INR

Code for our CVPR'23 paper: "Polynomial Implicit Neural Representations For Large Diverse Datasets"

sbackprop

Sparse Fourier Backpropagation in Cryo-EM Reconstruction