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awesome-holistic-3d

A list of papers and resources (data,code,etc) for holistic 3D reconstruction in computer vision

cluster_control

cluster_deploy

colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

compat3d

3DCoMPaT++: An improved large-scale 3D vision dataset for compositional recognition

diffmat

PyTorch-based differentiable material graph library for procedural material capture

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

domain-adaptation-paper-list

Domain Adaptation paper in various applications

dpt

Dense Prediction Transformers

eg3d

hello-world

test

higan

Code for paper `Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis`

implicit3dunderstanding

Official PyTorch code of Holistic 3D Scene Understanding from a Single Image with Implicit Representation (CVPR 2021). Also includes a PyTorch implementation of the decoder of LDIF (from 3D Shape Representation with Local Deep Implicit Functions).

indoorlightediting

instantavatar

InstantAvatar: Learning Avatars from Monocular Video in 60 Seconds (CVPR 2023)

inverserenderingofindoorscene

isospectralization-pytorch

latent-nerf

Official Implementation for "Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures"

lsun-room

[ICPR 2018] Indoor Scene Layout Estimation from a Single Image.

mask2former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

maskformer

Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)

mvdream-threestudio

3D generation code for MVDream

onegan

One more freaking GAN, I'll be sick.

optix-pathtracer-basic-high-quality-rendering

optix-pathtracer-direct-lighting

optix-pathtracer-indirect-lighting

optixrenderer

An optix-based GPU path tracer

perceptualsimilarity

LPIPS metric. pip install lpips

rdae

Implementation of SIGGRAPH'17 paper: Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder

sdfstudio-tools