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.
☆25Aug 5, 2025Updated last year
Alternatives and similar repositories for Point-Transformer-Diffusion
Users that are interested in Point-Transformer-Diffusion are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A tutorial for learning the knowledge and techniques about 3D point clouds.☆12Aug 21, 2023Updated 3 years ago
- Official repository for "Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation"☆20Sep 23, 2026Updated last month
- SPVD: Efficient and Scalable Point Cloud Generation with Sparse Point-Voxel Diffusion Models☆68Dec 8, 2025Updated 10 months ago
- Code for the 3DV 2022 oral paper "Arbitrary Point Cloud Upsampling with Spherical Mixture of Gaussians"☆16Sep 28, 2022Updated 4 years ago
- ☆29Mar 19, 2025Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- code for "Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks"☆29Aug 8, 2023Updated 3 years ago
- Official PyTorch Implementation of the Paper "Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models"☆23Apr 24, 2025Updated last year
- Code for PointInfinity: Resolution-Invariant Point Diffusion Models☆39Jun 19, 2024Updated 2 years ago
- 有关Python实用的函数以及方法,里面包含python的基础语法,机器学习和深度学习相关的手动实现的案例,供以后随时调用,不需要重新写。其中NLP文件夹本人的开源项目,目前完成机器翻译一项,等待后续跟进。☆12Aug 16, 2019Updated 7 years ago
- [ECCV 2024] Offical implementation of ECCV'24 paper DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction☆32Oct 22, 2024Updated 2 years ago
- A Point Transformer with Federated Learning for HER2 Status Prediction☆19Apr 24, 2025Updated last year
- [CVPR 2026] Emergent Extreme-View Geometry in 3D Foundation Models☆28Aug 25, 2026Updated 2 months ago
- ☆31Apr 9, 2026Updated 6 months ago
- University of Ottawa Rolling-element Dataset – Vibration and Acoustic Faults under Constant Load and Speed conditions (UORED-VAFCLS)