PyTorch3D playground in order to understand this new library
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Updated
Dec 15, 2020 - Python
PyTorch3D playground in order to understand this new library
deform a 3d object to required object
Pytorch3d rendering an visualization basics
Perform Differentiable Volume Rendering: Ray sampling from cameras, Point sampling along rays. Optimizing a basic implicit volume, Optimizing a Neural Radiance Field.
ironstyle rnx aj2 irostyle_consortium for Machine Learning & Computer Vision
This repo contains all the assignments done for the course CMSC848F at the Univeristy of Maryland, College Park.
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.
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.
Assignments and Notes for the course 3D Graphics Systems @Impa 2023
Learning 3D ML
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.
Sphere Tracing. Optimizing a Neural SDF. VolSDF. Phong Relighting.
Implementation of Canonical Surface Mapping (https://github.com/nileshkulkarni/csm) using PyTorch and Pytorch3D
python simulation of geometryConstraints function in Maya
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