Assignments and Notes for the course 3D Graphics Systems @Impa 2023
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Updated
Jun 22, 2023 - Jupyter Notebook
Assignments and Notes for the course 3D Graphics Systems @Impa 2023
3D aware implicit Generative Adversarial Network
Виртуальная примерка 3D модели одежды на видео (что-то в духе Clometrica)
Exploring the types of losses and decoder functions for regressing to voxels, point clouds, and mesh representations from single view RGB input.
Learning 3D ML
Perform Differentiable Volume Rendering: Ray sampling from cameras, Point sampling along rays. Optimizing a basic implicit volume, Optimizing a Neural Radiance Field.
deform a 3d object to required object
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.
Differentiable Point Radiance Fields Rasteriser for Novel View Synthesis
Pose refinement with differentiable rendering
python simulation of geometryConstraints function in Maya
Pytorch3d rendering an visualization basics
Code to construct textured deformed SMPL-X meshes for HUMBI data
ironstyle rnx aj2 irostyle_consortium for Machine Learning & Computer Vision
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.
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