Zhiyuan-R / Tiger-DiffusionLinks
This is the official code for the CVPR 2024 Publication: Tiger: Time-Varying Denoising Model for 3D Point Cloud Generation with Diffusion Process
☆25Updated 11 months ago
Alternatives and similar repositories for Tiger-Diffusion
Users that are interested in Tiger-Diffusion are comparing it to the libraries listed below
Sorting:
- Official implementation for "Explicitly Guided Information Interaction Network for Cross-modal Point Cloud Completion" (ECCV 2024)☆48Updated 8 months ago
- ☆37Updated 7 months ago
- [ICCV 2023] CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training☆115Updated last year
- [NeurIPS 2024 Spotlight] PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders☆42Updated 3 months ago
- [ACM MM 2024] Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model☆125Updated 3 months ago
- [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder☆31Updated last year
- PathNet: Path-selective Point Cloud Denoising☆32Updated last year
- CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers☆52Updated 9 months ago
- [ICRA'2024]: 3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds☆34Updated last year
- [ECCV 2024] Offical implementation of ECCV'24 paper DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction☆25Updated 8 months ago
- Point Could Mamba: Point Cloud Learning via State Space Model☆70Updated 6 months ago
- The code for the paper "Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders" (AAAI'24).☆37Updated last year
- X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition (CVPR2024)☆28Updated last year
- ☆63Updated 9 months ago
- [IJCV 2023] The official repo for “Learning Geometric Transformation for Point Cloud Completion”☆15Updated last year
- ☆23Updated last year
- [MM 2024] [Need only a 3090] MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors☆105Updated 9 months ago
- ☆12Updated 7 months ago
- (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models☆53Updated last year
- [CVPR 2025] Official codes for the paper 'Mamba4D: Efficient 4D Point Cloud Video Understanding with Disentangled Spatial-Temporal State …☆17Updated 2 months ago
- A point cloud visualization repo☆77Updated last week
- [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining☆145Updated 11 months ago
- ☆42Updated last year
- Learnable Skeleton-Aware 3D Point Cloud Sampling☆21Updated last year
- The official codes of ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors☆17Updated 3 weeks ago
- [CVPR‘23] Hyperspherical Embedding for Point Cloud Completion☆21Updated last year
- [NeurIPS'23] ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding☆11Updated last year
- [NeurIPS2023] Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding☆69Updated 6 months ago
- This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learn…☆80Updated 2 years ago
- Point Cloud Upsampling with Kernel Point Representation and Deformation☆33Updated last year