Computer Vision - mat-yz-e/- GitHub Wiki


Marigold V2 Revisiting Diffusion Transformers for Monocular Depth Estimation
https://huggingface.co/spaces/huawei-bayerlab/marigold-v2-web


LocateAnything
https://research.nvidia.com/labs/lpr/locate-anything/


Information-Driven Design of Imaging Systems
https://bair.berkeley.edu/blog/2026/01/10/information-driven-imaging/


Refine high-quality datasets and visual AI models
https://github.com/voxel51/fiftyone


OpenCap Monocular
https://github.com/utahmobl/opencap-monocular


Efficient Universal Perception Encoder
https://github.com/facebookresearch/eupe


InfiniDepth: Arbitrary-Resolution and Fine-Grained Depth Estimation with Neural Implicit Fields
https://github.com/zju3dv/InfiniDepth


Wrapper of 50+ image matching models with a unified interface
https://github.com/gmberton/vismatch


DART: Detect Anything in Real Time
https://github.com/mkturkcan/DART


Free Motion Capture for Everyone
https://github.com/freemocap/freemocap


Reconstruct Anything Model
https://github.com/matthieutrs/ram


AM-RADIO: Agglomerative Vision Foundation Model - Reduce All Domains Into One
https://github.com/NVlabs/RADIO


Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle
https://github.com/MiraPurkrabek/BBoxMaskPose


OneVision Encoder
https://github.com/EvolvingLMMs-Lab/OneVision-Encoder


Qwen-Image-Layered
https://github.com/QwenLM/Qwen-Image-Layered


In Pursuit of Pixel Supervision for Visual Pre-training
https://github.com/facebookresearch/pixio


AnyUp: Universal Feature Upsampling
https://github.com/wimmerth/anyup


FoundationStereo: Zero-Shot Stereo Matching
https://github.com/NVlabs/FoundationStereo/


Depth Anything 3
https://github.com/ByteDance-Seed/Depth-Anything-3


Qwen-Image-Lightning
https://github.com/ModelTC/Qwen-Image-Lightning/


EdgeTAM: On-Device Track Anything Model
https://github.com/facebookresearch/EdgeTAM


Image Matching Models
https://github.com/alexstoken/image-matching-models


Pixel-Perfect Depth
https://github.com/gangweix/pixel-perfect-depth


Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry
https://arxiv.org/pdf/2510.08638


SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization
https://huggingface.co/facebook/SSDD


3D Human Motion Generation and Simulation Tutorial
https://3dmogen.github.io/


DINO-Foresight: Looking into the Future with DINO
https://github.com/Sta8is/DINO-Foresight


AToken: A Unified Tokenizer for Vision
https://arxiv.org/abs/2509.14476

⚠️ **GitHub.com Fallback** ⚠️