pytorch3d
There are 35 repositories under pytorch3d topic.
HavenFeng/photometric_optimization
Photometric optimization code for creating the FLAME texture space and other applications
Qiulin-W/SAFA
Official Pytorch Implementation of 3DV2021 paper: SAFA: Structure Aware Face Animation.
adelekuzmiakova/pytorch3d-renderer
A PyTorch3D walkthrough and a Medium article 👋 on how to render 3D .obj meshes from various viewpoints to create 2D images.
ajhamdi/mvtorch
a Pytorch library for multi-view 3D understanding and generation
PengfeiRen96/DIR
[ICCV 2023 Oral] Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image
lattas/FitMe
CVPR 2023 - FitMe: Deep Photorealistic 3D Morphable Model Avatars
guanyingc/pytorch3d_render_colmap
Render COLMAP reconstructed Model with Pytorch3D
maximeraafat/pointRF
Differentiable Point Radiance Fields Rasteriser for Novel View Synthesis
pbelevich/virtual-try-on
Non-commercial educational project that combines pose estimation and garment re-targeting to create virtual try-on demo
IMAC-projects/style-transfer
Deform meshes by reinforcement learning
a-nau/CubeRefine-R-CNN
Code for the CubeRefine R-CNN model of our CVPRW '23 paper "Parcel3D: Shape Reconstruction From Single RGB Images for Applications in Transportation Logistics".
maximeraafat/humbi_textured_meshes
Code to construct textured deformed SMPL-X meshes for HUMBI data
cr00z/virtual-tryon
Виртуальная примерка 3D модели одежды на видео (что-то в духе Clometrica)
densechen/Pose-refinement
Pose refinement with differentiable rendering
Innoptech/OpenSTL
The fastest and most intuitive library to manipulate STL files (stereolithography) for C++ and Python, header-only.
verlab/CreatingAndReenacting_WACV_2022
PyTorch implementation of the human neural rendering in unseen positions presented at WACV 2022 "Creating and Reenacting Controllable 3D Humans with Differentiable Rendering"
JohnYeung-dojjy/py_geometry_constraint
python simulation of geometryConstraints function in Maya
salehahr/pytorch3d-gui
GUI to view current mesh during render using pytorch3d.
omkarchittar/Single_View_to_3D
Exploring the types of losses and decoder functions for regressing to voxels, point clouds, and mesh representations from single view RGB input.
omkarchittar/PointCloud_Classification_and_Segmentation
Implementing a PointNet based architecture for classification and segmentation with point clouds. Q1 and Q2 focus on implementing, training and testing models. Q3 asks you to quantitatively analyze model robustness.
harinandan1995/csm
Implementation of Canonical Surface Mapping (https://github.com/nileshkulkarni/csm) using PyTorch and Pytorch3D
Aynur19/3D-ML
Learning 3D ML
hallpaz/3dsystems23
Assignments and Notes for the course 3D Graphics Systems @IMPA 2023
maximeraafat/3DiGAN
3D aware implicit Generative Adversarial Network
omkarchittar/Neural_Surfaces
Sphere Tracing. Optimizing a Neural SDF. VolSDF. Phong Relighting.
omkarchittar/PyTorch3D_Rendering_Basics
Learning the basics of rendering with PyTorch3D, exploring 3D representations, and practicing constructing simple geometry.
Rishikesh-Jadhav/CMSC848F-3D-Vision
This repository contains my paper reviews, solutions and code submissions for projects completed as part of CMSC848F during Fall 2023. Each project is organized in its own folder, with accompanying documentation and any necessary resources.
Ramsi-K/3D-Vision-Playground
Exploring 3D computer vision and geometry processing with Open3D.
theunknowninfinite/848F_3D_Vision
This repo contains all the assignments done for the course CMSC848F at the Univeristy of Maryland, College Park.
creative-uber-learning/pytorch3d-playground
PyTorch3D playground in order to understand this new library
darshit-desai/3dVision_Rendering_Basics_with_Pytorch3D
Pytorch3d rendering an visualization basics
yes-its-shivam/3d_deform_object
deform a 3d object to required object
iwatanabe-7/3D-model-project
研究のための3D人体モデルの作成
omkarchittar/Neural_Radiance_Fields
Perform Differentiable Volume Rendering: Ray sampling from cameras, Point sampling along rays. Optimizing a basic implicit volume, Optimizing a Neural Radiance Field.