There are 2 repositories under pytorch3d topic.
Photometric optimization code for creating the FLAME texture space and other applications
A PyTorch3D walkthrough and a Medium article 👋 on how to render 3D .obj meshes from various viewpoints to create 2D images.
[ICCV 2023 Oral] Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image
Differentiable Point Radiance Fields Rasteriser for Novel View Synthesis
Non-commercial educational project that combines pose estimation and garment re-targeting to create virtual try-on demo
Deform meshes by reinforcement learning
Code to construct textured deformed SMPL-X meshes for HUMBI data
Виртуальная примерка 3D модели одежды на видео (что-то в духе Clometrica)
Pose refinement with differentiable rendering
PyTorch implementation of the human neural rendering in unseen positions presented at WACV 2022 "Creating and Reenacting Controllable 3D Humans with Differentiable Rendering"
Code for the CubeRefine R-CNN model of our CVPRW '23 paper "Parcel3D: Shape Reconstruction From Single RGB Images for Applications in Transportation Logistics".
Implementation of Canonical Surface Mapping (https://github.com/nileshkulkarni/csm) using PyTorch and Pytorch3D
python simulation of geometryConstraints function in Maya
GUI to view current mesh during render using pytorch3d.
Assignments and Notes for the course 3D Graphics Systems @IMPA 2023
Sphere Tracing. Optimizing a Neural SDF. VolSDF. Phong Relighting.
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.
Learning the basics of rendering with PyTorch3D, exploring 3D representations, and practicing constructing simple geometry.
3D aware implicit Generative Adversarial Network
Exploring the types of losses and decoder functions for regressing to voxels, point clouds, and mesh representations from single view RGB input.
Exploring 3D computer vision and geometry processing with Open3D.
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.
PyTorch3D playground in order to understand this new library
Pytorch3d rendering an visualization basics
deform a 3d object to required object
ironstyle rnx aj2 irostyle_consortium for Machine Learning & Computer Vision
Perform Differentiable Volume Rendering: Ray sampling from cameras, Point sampling along rays. Optimizing a basic implicit volume, Optimizing a Neural Radiance Field.
This repo contains all the assignments done for the course CMSC848F at the Univeristy of Maryland, College Park.