shimazing / CloudFixerLinks
Official repository of **CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation, ECCV'24**
☆11Updated last month
Alternatives and similar repositories for CloudFixer
Users that are interested in CloudFixer are comparing it to the libraries listed below
Sorting:
- MATE: Masked Autoencoders are Online 3D Test-Time Learners (ICCV 2023)☆21Updated last year
- This is the code related to "Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation" (CVPR 2023)☆32Updated last year
- [ECCV 2022] "Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction" by Hanxue Liang, Hehe Fan, Zhiwen Fan, Yi Wang, Tian…☆19Updated last year
- [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder☆31Updated last year
- [CVPR'24] Official PyTorch implementation of Contrastive Mean-Shift Learning for Generalized Category Discovery☆47Updated last year
- Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".☆42Updated last year
- [CVPR 2024] The official implementation of paper "Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training"☆36Updated last year
- ☆15Updated 4 months ago
- [CVPR 2025] Official implementation of the paper "Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Poin…☆12Updated 4 months ago
- The official repository for paper "MLLMs Need 3D-Aware Representation Supervision for Scene Understanding"☆67Updated last month
- Official PyTorch Implementation of the Paper "Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models"☆15Updated 2 months ago
- [NeurIPS2023] Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding☆69Updated 7 months ago
- The code for the paper "Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders" (AAAI'24).☆38Updated last year
- Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.☆74Updated last year
- ☆24Updated 2 years ago
- (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models☆53Updated last year
- [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering☆48Updated last year
- [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining☆145Updated 11 months ago
- Collection of awesome Continual Test-Time Adaptation methods☆18Updated last year
- Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding (ICLR 2023)☆21Updated 2 years ago
- [ICCV 2023] CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-training☆118Updated last year
- [3DV 2025] Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model☆92Updated last month
- ☆15Updated 4 years ago
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆102Updated last year
- [CVPR 2024] Domain generalization by interpolating original feature styles with styles obtained using random descriptions in natural lang…☆50Updated 2 months ago
- [AAAI 2024] SVDP: Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction☆28Updated last year
- [NeurIPS 2024 Spotlight] PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders☆44Updated 4 months ago
- Distribution Aware Tuning☆14Updated 10 months ago
- FLOSS: Plug-in Training-free and label-free text template selection that boosts OVSS methods☆23Updated last week
- [NeurIPS 2023] Weakly Supervised 3D Open-vocabulary Segmentation☆120Updated last year