PyTorch implementation of Variational Diffusion Models.

cuEquivariance is a math library that is a collective of low-level primitives and tensor ops to accelerate widely-used models, like DiffDock, MACE, Allegro and NEQUIP, based on equivariant neural n…

[CVPR 2024] Official implementation of "Towards Realistic Scene Generation with LiDAR Diffusion Models"

国自然基金Latex模板

Repository for <Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics> (J. Spinner et al 2024)

Implementation of Autoregressive Diffusion in Pytorch

An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]

[ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning

[CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling

The official repository of the paper "Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance"

《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程

An demo of our icassp work LiDAR point cloud up-sampling

Utilities intended for use with Llama models.

Code for PointInfinity: Resolution-Invariant Point Diffusion Models

Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models

Denoising Diffusion Implicit Models

[A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling, 2024, CVPR]

PyTorch Implementation of REINFORCE for both discrete & continuous control

The Noise Contrastive Estimation for softmax output written in Pytorch

Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023

Source code of CVPR 2024 paper 'FastMAC: Stochastic Spectral Sampling of Correspondence Graph'

A collection of resources and papers on Diffusion Models

Fast point cloud sampling using graph signal processing.

[ICLR2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data

Manifold-learning flows (ℳ-flows)

Code Repository for Liquid Time-Constant Networks (LTCs)

Closed-form Continuous-time Neural Networks

(TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer