Stars
Pytorch package to compute Chamfer distance between point sets (pointclouds).
The official implementation of the "HyperPocket: Generative Point Cloud Completion" paper in PyTorch
This repository contains the code used to create the results presented in the paper: "From Coarse to Fine-Grained Open-Set Recognition". We investigate the role of label granularity, semantic simil…
OOD detection based on Hopfield Energy (published on ICLR2023)
Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.
A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows
Implementation of different diffusion models for probabilistic image generation
Creating a diffusion model from scratch in PyTorch to learn exactly how they work.
Python sample codes and documents about Autonomous vehicle control algorithm. In the future, I want to publish these ones as my own technical book for beginners.
Official repository for "Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation"
💭 Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
A tour of different optimization algorithms in PyTorch.
The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"
This is an official implementation for [ICLR'24] INTR: Interpretable Transformer for Fine-grained Image Classification.
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
A PyTorch implementation of "MetaFormer: A Unified Meta Framework for Fine-Grained Recognition". A reference PyTorch implementation of “CoAtNet: Marrying Convolution and Attention for All Data Sizes”
Official repository for "Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond". Coming soon.
👽 Out-of-Distribution Detection with PyTorch
[ICLR 2025] From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"
[CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"
Official GitHub repo for VecKM. A very efficient and descriptive local geometry encoder / point tokenizer / patch embedder. ICML2024.
Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
Intel realsense d435i open access dataset of seasonal growth of fuji apple. The dataset contains images and reference caliper ground truth data.