KunalMGupta
I am a graduate student at UC San Diego, Computer Science and Engineering department specializing in 3D Computer Vision.
University of California San Diego La Jolla, CA, USA
Pinned Repositories
4K-NeRF
Official implementation of arxiv paper "4K-NeRF: High Fidelity Neural Radiance Fields at Ultra High Resolutions"
AtlasNet
This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.
BaseDockerImages
Base Docker Images build on top of NVIDIA CUDA XX.X and includes anaconda, other useful packages.
BentoCLIP
building a CLIP application using BentoML
DIFIR-CT
Motion aware Computed Tomography
NeuralMeshFlow
Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows
occupancy_networks
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
sceneprogllm
LLM wrapper for SceneProg project
sceneprogrenderer
torch-mesh-isect
KunalMGupta's Repositories
KunalMGupta/DIGITS
Deep Learning GPU Training System
KunalMGupta/Docker
These are the docker files used in my project
KunalMGupta/gans
Generative Adversarial Networks implemented in PyTorch and Tensorflow
KunalMGupta/libigl-examples
This repository contains examples applications that use libigl. They only work on MacOSX and they should be converted to tutorials.
KunalMGupta/lsm
Code for Learnt Stereo Machines based on the NIPS 2017 paper
KunalMGupta/mitsuba-docker
Dockerfile and instructions for building Mitsuba
KunalMGupta/openMVS
open Multi-View Stereo reconstruction library
KunalMGupta/pyopengl
Repository for the PyOpenGL Project (LaunchPad Mirror)
KunalMGupta/pypoisson
Poisson Surface Reconstruction Python Binding
KunalMGupta/pyrender
Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.
KunalMGupta/QuadClass-Resources
Files to support the quadcopter class.
KunalMGupta/unet-pytorch
U-Net implementation for PyTorch based on https://arxiv.org/abs/1505.04597