pqnhoang
Follow
Stars
Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]
Populating 3D Scenes by Learning Human-Scene Interaction https://posa.is.tue.mpg.de/
This document helps demystify the PhD admission process in Computer Science in US universities. It is written mainly for international students, but also has a section for domestic (US) students. .
The implementation of our CVPR 2024 paper "Unsigned Orthogonal Distance Fields: An Accurate Neural Implicit Representation for Diverse 3D Shapes."
Papers and Datasets about Point Cloud.
🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
DNO: Optimizing Diffusion Noise Can Serve As Universal Motion Priors
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Stable Diffusion implemented from scratch in PyTorch
Dataset and Code for NeurIPS 2023 paper "Language-driven Scene Synthesis using Multi-conditional Diffusion Model."
A collection of resources and papers on Diffusion Models
Karras et al. (2022) diffusion models for PyTorch
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Official repo for consistency models.
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
CS330 Deep Multi Task and Meta Learning Assignment. Stanford University
A collection of 3D reconstruction papers in the deep learning era.