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MP-SfM: Monocular Surface Priors for Robust Structure-from-Motion (CVPR 2025)
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
[CVPR 2025] Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail
[CVPR 2023] DKM: Dense Kernelized Feature Matching for Geometry Estimation
[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration
A novel paradigm for collecting and generating stereo training data using neural rendering
Code for "BoxDreamer: Dreaming Box Corners for Generalizable Object Pose Estimation", arXiv 2025.
[ICCV 2023] The first DETR model for monocular 3D object detection with depth-guided transformer
a state-of-the-art-level open visual language model | 多模态预训练模型
[ICCV 2023] The official PyTorch code for Group Pose: A Simple Baseline for End-to-End Multi-person Pose Estimation
toy SLAM pose graph optimization using manhattan dataset and ceres-solver
g2o: A General Framework for Graph Optimization
[CVPR 2023] BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
Fast and memory-efficient exact attention
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
Code for "OnePose: One-Shot Object Pose Estimation without CAD Models", CVPR 2022
Code for "OnePose++: Keypoint-Free One-Shot Object Pose Estimation without CAD Models" NeurIPS 2022
[CVPR 2025 Oral] VGGT: Visual Geometry Grounded Transformer
[CVPR 2023] DynamicStereo: Consistent Dynamic Depth from Stereo Videos.
[ICLR 2025] 6D Object Pose Tracking in Internet Videos for Robotic Manipulation
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
[CVPR 2024] The official implementation for "MS-DETR: Efficient DETR Training with Mixed Supervision"
Official code release for ConceptGraphs
COLMAP - Structure-from-Motion and Multi-View Stereo
Implementation of the proposed DeepCrossAttention by Heddes et al at Google research, in Pytorch