lahoud / 3d-vision-transformers
A list of 3D computer vision papers with Transformers
☆395Updated 2 months ago
Related projects: ⓘ
- Code & Models for 3DETR - an End-to-end transformer model for 3D object detection☆614Updated last year
- [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning☆441Updated last year
- [CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling☆518Updated 9 months ago
- A shift-window based transformer for 3D sparse tasks☆202Updated last year
- [NeurIPS'22] An official PyTorch implementation of PTv2.☆347Updated last year
- [CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)☆715Updated 5 months ago
- [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers☆583Updated last year
- Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.☆528Updated 10 months ago
- [ICLR 2023 Oral] Image as Set of Points☆534Updated 4 months ago
- [ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions☆1,215Updated 6 months ago
- MultiMAE: Multi-modal Multi-task Masked Autoencoders, ECCV 2022☆544Updated last year
- [CVPR2024] OneFormer3D: One Transformer for Unified Point Cloud Segmentation☆299Updated last week
- Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".☆375Updated 2 years ago
- (TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey☆194Updated last year
- Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)☆629Updated last year
- ☆414Updated 2 months ago
- [ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation☆827Updated 4 months ago
- Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)☆233Updated last year
- Implementation of Deformable Attention in Pytorch from the paper "Vision Transformer with Deformable Attention"☆272Updated 4 months ago
- CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest d…☆384Updated 2 months ago
- Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR…☆1,492Updated last week
- Code of ICLR2023 paper "TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding" and ECCV2022 paper "Inverted Py…☆294Updated 4 months ago
- [ICCV'23 Workshop] SAM3D: Segment Anything in 3D Scenes☆950Updated 4 months ago
- Implementation of the Point Transformer layer, in Pytorch☆586Updated 2 years ago
- Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)☆1,337Updated 2 years ago
- Point Transformers☆622Updated 6 months ago
- QuadTree Attention for Vision Transformers (ICLR2022)☆339Updated 4 months ago
- [NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies☆758Updated 9 months ago
- [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP…☆480Updated 4 months ago
- OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.…☆283Updated last month