Negai-98 / LDTLinks
This repository contains a PyTorch implementation of Latent Diffusion Transformer for Point Cloud Generation
☆15Updated last year
Alternatives and similar repositories for LDT
Users that are interested in LDT are comparing it to the libraries listed below
Sorting:
- Official Implementation for Fast Point Cloud Generation with Straight Flows☆50Updated last year
- A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion☆174Updated last year
- This is the official code for the CVPR 2024 Publication: Tiger: Time-Varying Denoising Model for 3D Point Cloud Generation with Diffusion…☆28Updated last year
- Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).☆109Updated 5 months ago
- ☆293Updated last year
- ☆45Updated last year
- (TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer☆182Updated last year
- [ACM MM 2024] Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model☆133Updated 6 months ago
- [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds☆228Updated last year
- ☆92Updated 3 years ago
- Official code for "Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction" (CVPR 2023)☆207Updated 2 years ago
- CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers☆55Updated 11 months ago
- This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learn…☆84Updated 2 years ago
- 🔥🔥🔥Official Codebase of "DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation"☆292Updated last year
- Controllable Point Cloud and Mesh Generation☆120Updated 2 years ago
- Code for "Cross-modal Learning for Image-Guided Point Cloud Shape Completion" (NeurIPS 2022)☆60Updated 2 years ago
- OctFormer: Octree-based Transformers for 3D Point Clouds☆326Updated 2 months ago
- Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation (CVPR 2022)☆41Updated last year
- This is the source code of Part2Word: Learning Joint Embedding of Point Clouds and Text by Bidirectional Matching between Parts and Words☆17Updated 2 years ago
- [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining☆147Updated last year
- [NeurIPS 2022] Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training☆216Updated 2 years ago
- A point cloud visualization repo☆86Updated 2 months ago
- Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023☆125Updated 5 months ago
- Point Cloud Upsampling with Kernel Point Representation and Deformation☆38Updated last year
- DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion, ICCV 2023☆58Updated last year
- [CVPR 2022] LAKe-Net: Topology-Aware Point Cloud Completion by Localizing Aligned Keypoints☆39Updated 2 years ago
- PathNet: Path-selective Point Cloud Denoising☆34Updated last year
- Octree-based 3D Convolutional Neural Networks☆215Updated 7 months ago
- CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm☆12Updated 2 years ago
- Point Cloud Mamba: Point Cloud Learning via State Space Model☆120Updated last year