guochengqian / Pix4Point
Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`
☆47Updated 8 months ago
Alternatives and similar repositories for Pix4Point:
Users that are interested in Pix4Point are comparing it to the libraries listed below
- ☆51Updated last year
- (ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation☆49Updated 2 years ago
- Code, dataset and models for our CVPR 2022 publication "Text2Pos"☆43Updated 2 years ago
- [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models☆40Updated 7 months ago
- [AAAI 2024-Oral] EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder☆29Updated 11 months ago
- Segmentator for clustering on meshes or pointclouds☆40Updated 4 months ago
- https://arxiv.org/abs/2104.02246 One Thing One Click (CVPR 2021) https://arxiv.org/abs/2303.14727 One Thing One Click++ (Arxiv)☆54Updated last year
- [Preprint 2022] “Can We Solve 3D Vision Tasks Starting from A 2D Vision Transformer?” by Yi Wang, Zhiwen Fan, Tianlong Chen, Hehe Fan, Zh…☆61Updated 2 years ago
- [TIP 2022] SegGroup: Seg-level Supervision for 3D Instance and Semantic Segmentation☆47Updated 2 years ago
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆102Updated 8 months ago
- [NeurIPS2022] Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis☆73Updated 2 years ago
- ☆23Updated 2 years ago
- [CVPR 2022] SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation☆45Updated 2 years ago
- (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models☆52Updated 9 months ago
- Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding (ICLR 2023)☆21Updated last year
- Official Implementation for "Mask-Attention-Free Transformer for 3D Instance Segmentation"☆63Updated last year
- [NeurIPS'23] ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding☆11Updated last year
- This is the official code repository for OccuSeg, a state-of-the-art method for accurate joint 3D semantic and instance segmentation.☆23Updated 3 years ago
- CVPR 2021 Oral https://arxiv.org/abs/2104.02243☆47Updated last year
- [ECCV 2022] Masked Discrimination for Self-Supervised Learning on Point Clouds☆94Updated 2 years ago
- [ECCV 2022] Official pytorch implementation of the paper, "PointMixer: MLP-Mixer for Point Cloud Understanding"☆103Updated last year
- ☆25Updated last year
- [ECCV 2022] Open-world Semantic Segmentation for LIDAR Point Clouds☆72Updated 2 years ago
- [NeurIPS 2022] 4D Unsupervised Object Discovery☆55Updated last year
- [IJCV 2024] P3Former: Position-Guided Point Cloud Panoptic Segmentation Transformer☆79Updated 11 months ago
- All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation (NeurIPS 2023)☆28Updated last year
- Official implementation for ECCV 2022 paper "3D Instances as 1D Kernels".☆53Updated last year
- [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting☆129Updated last year
- Self-Supervised Correspondence and Optimization-Based Scene Flow (CVPR 2023)☆60Updated last year
- Code for paper "ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation"☆29Updated 4 years ago