Stars
Text, diagrams, and source code for the book Computer Graphics from scratch.
A brief computer graphics / rendering course
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A Comprehensive Toolkit for High-Quality PDF Content Extraction
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Nβ¦
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
A simple Github Pages template for academic personal websites.
LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.
3D Gaussian Splatting extension of threestudio.
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
a list of papers and codes in graphics, computer vision, and HCI
[CVPR 2024] GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models
Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)
A PyTorch implementation for the paper: Fully Convolutional Scene Graph Generation, CVPR 2021
A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper βUnbiaseβ¦
Graph Convolutional Networks for Text Classification. AAAI 2019
PyTorch re-implementation of DeepMask
A resource repository for 3D machine learning
[CVPR'24] GraphDreamer: a novel framework of generating compositional 3D scenes from scene graphs.
SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement
React Native project setup with Viro π
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
Point Transformer Diffusion is a novel generative model for 3D point cloud generation, which integrates the classical diffusion model and a local self-attention network.
A list of papers and datasets about point cloud analysis (processing)
A curated list of recent diffusion models for video generation, editing, and various other applications.