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Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.
🏝️ OASIS: Open Agent Social Interaction Simulations with One Million Agents. https://oasis.camel-ai.org
Repository of Vision Transformer with Deformable Attention (CVPR2022) and DAT++: Spatially Dynamic Vision Transformerwith Deformable Attention
[MICCAI'24] Free-SurGS: SfM-Free 3D Gaussian Splatting for Surgical Scene Reconstruction
[MICCAI 2024] LGS: A Light-weight 4D Gaussian Splatting for Efficient Surgical Scene Reconstruction
[CVPR2023] CompletionFormer: Depth Completion with Convolutions and Vision Transformers
[ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting
This toolbox aims to unify audio generation model evaluation for easier comparison.
Code release for "Cut and Learn for Unsupervised Object Detection and Instance Segmentation" and "VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation"
[EARTH@MICCAI'2024] EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting
MICCAI 2024: Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting
[MICCAI 2024] Official code implementation for paper: Deform3DGS
A curated list of awesome neural radiance fields papers
DeepLab v3+ model in PyTorch. Support different backbones.
This is the official code for LSKANet project that can implement precise segmentation of surgical scenes.
Python code to fuse multiple RGB-D images into a TSDF voxel volume.
Medical SAM 2: Segment Medical Images As Video Via Segment Anything Model 2
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Computer Vision Toolkit. cvkit is available for Linux as well as for Windows. It offers useful tools for viewing and analyzing images and 3d models.
Hierarchical Deep Stereo Matching on High Resolution Images, CVPR 2019.
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. (ICCV 2021 Oral)
[TPAMI'23] Unifying Flow, Stereo and Depth Estimation