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Official repo for: Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation (Neurocomputing)
This is the official implementation of our paper MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning (ACMMM2023)
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
[TPAMI'23] Unifying Flow, Stereo and Depth Estimation
[ECCV 2022] Domain Randomization-Enhanced Depth Simulation and Restoration for Perceiving and Grasping Specular and Transparent Objects
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Pytorch package to compute Chamfer distance between point sets (pointclouds).
[ICLR 2024] AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation
Using PCL (Point Cloud Library) to Registration Point Cloud By SAC-IA, Initial Alignment
[ICLR24] Official implementation of the paper “MagicDrive: Street View Generation with Diverse 3D Geometry Control”
Chamfer Distance in Pytorch with f-score
[NeurIPS 2023] Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes
Official repository for the ICCV2023 paper "Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV"
[ECCV 2022] TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance
[CVPR2023] Official Implementation of "DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets"
[CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)
Official repository for "DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly" accepted at CVPR2024
Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scal…
Self-Supervised Representation Learning on Point Clouds (GCPR 2023 | T4V Workshop @ CVPR 2023)
Point Could Mamba: Point Cloud Learning via State Space Model
[ICCV 2023] PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment
PointMamba: A Simple State Space Model for Point Cloud Analysis
The First Dynamic Map Removal Benchmark: open-sourced all the methods and datasets in papers. | Included 8 SOTA methods | Continous updating
[CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
[CVPR 2024 Highlight] Official PyTorch implementation of SpatialTracker: Tracking Any 2D Pixels in 3D Space