Stars
Implementation of "Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation" from CVPR Workshop on Human Motion Generation 2024.
A TTS that fits in your CPU (and pocket)
A Python library for reading and writing PDF, powered by QPDF
21 Lessons, Get Started Building with Generative AI
DeepStream IPC (Inter-Process Communication)
RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
MapAnything: Universal Feed-Forward Metric 3D Reconstruction
Reference PyTorch implementation and models for DINOv3
ViPE: Video Pose Engine for Geometric 3D Perception
Highly accurate and efficient VSLAM system for Python
About This repository is a curated collection of the most exciting and influential CVPR 2025 papers. 🔥 [Paper + Code + Demo]
[ICRA 2025] ELite: Ephemerality meets LiDAR-based Lifelong Mapping
[NeurIPS 2024] MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
Build computer vision models in a fraction of the time and with less data.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
riscmaster / kinematic_arbiter
Forked from acfr/ros2_template_pkgSensor Fusion ROS2 Package enabling dynamic simplified tuning of an Extended Kalman Filter
[ICCV 2025] PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos
[CVPR 2025 Best Paper Award] VGGT: Visual Geometry Grounded Transformer
[ICLR 2026] RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning.
We write your reusable computer vision tools. đź’ś
[CVPR 2025] "A Distractor-Aware Memory for Visual Object Tracking with SAM2"
D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement [ICLR 2025 Spotlight]
[CVPR 2025] MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors
(CVPR 2024) Point, Segment and Count: A Generalized Framework for Object Counting
A minimal yet unstoppable blueprint for multi-agent AI—anchored by the rare, far-reaching “Multi-Agent AI DAO” (2017 Prior Art)—empowering a new wave of superintelligent on-chain Agents.