201 skills found · Page 1 of 7
thu-coai / GlyphOfficial Repository for "Glyph: Scaling Context Windows via Visual-Text Compression"
UX-Decoder / DINOv[CVPR 2024] Official implementation of the paper "Visual In-context Learning"
HumanAIGC / Omnitalker[NeurIPS 2025] OmniTalker: Real-Time Text-Driven Talking Head Generation with In-Context Audio-Visual Style Replication
Atomic-man007 / Awesome Multimodel LLMAwesome_Multimodel is a curated GitHub repository that provides a comprehensive collection of resources for Multimodal Large Language Models (MLLM). It covers datasets, tuning techniques, in-context learning, visual reasoning, foundational models, and more. Stay updated with the latest advancement.
lupantech / MathVistaMathVista: data, code, and evaluation for Mathematical Reasoning in Visual Contexts
yosungho / LineTRLine as a Visual Sentence: Context-aware Line Descriptor for Visual Localization (Line Transformer)
SOTAMak1r / VINO CodeA Unified Visual Generator with Interleaved OmniModal Context
ZhangYuanhan-AI / Visual Prompt Retrieval[NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"
USTCPCS / CVPR2018 AttentionContext Encoding for Semantic Segmentation MegaDepth: Learning Single-View Depth Prediction from Internet Photos LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume On the Robustness of Semantic Segmentation Models to Adversarial Attacks SPLATNet: Sparse Lattice Networks for Point Cloud Processing Left-Right Comparative Recurrent Model for Stereo Matching Enhancing the Spatial Resolution of Stereo Images using a Parallax Prior Unsupervised CCA Discovering Point Lights with Intensity Distance Fields CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation Learning a Discriminative Feature Network for Semantic Segmentation Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation Unsupervised Deep Generative Adversarial Hashing Network Monocular Relative Depth Perception with Web Stereo Data Supervision Single Image Reflection Separation with Perceptual Losses Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains EPINET: A Fully-Convolutional Neural Network for Light Field Depth Estimation by Using Epipolar Geometry FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds Decorrelated Batch Normalization Unsupervised Learning of Depth and Egomotion from Monocular Video Using 3D Geometric Constraints PU-Net: Point Cloud Upsampling Network Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer Tell Me Where To Look: Guided Attention Inference Network Residual Dense Network for Image Super-Resolution Reflection Removal for Large-Scale 3D Point Clouds PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image Fully Convolutional Adaptation Networks for Semantic Segmentation CRRN: Multi-Scale Guided Concurrent Reflection Removal Network DenseASPP: Densely Connected Networks for Semantic Segmentation SGAN: An Alternative Training of Generative Adversarial Networks Multi-Agent Diverse Generative Adversarial Networks Robust Depth Estimation from Auto Bracketed Images AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation DeepMVS: Learning Multi-View Stereopsis GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation Single-Image Depth Estimation Based on Fourier Domain Analysis Single View Stereo Matching Pyramid Stereo Matching Network A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation Image Correction via Deep Reciprocating HDR Transformation Occlusion Aware Unsupervised Learning of Optical Flow PAD-Net: Multi-Tasks Guided Prediciton-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing Surface Networks Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation TextureGAN: Controlling Deep Image Synthesis with Texture Patches Aperture Supervision for Monocular Depth Estimation Two-Stream Convolutional Networks for Dynamic Texture Synthesis Unsupervised Learning of Single View Depth Estimation and Visual Odometry with Deep Feature Reconstruction Left/Right Asymmetric Layer Skippable Networks Learning to See in the Dark
ykdojo / Super Voice AssistantmacOS voice assistant with global hotkeys - transcribe speech to text with offline models (WhisperKit or Parakeet) or cloud-based Gemini API, capture and transcribe screen recordings with visual context, and read selected text aloud with Gemini Live.
hjerpbakk / OpenFolderInVSCodeWith this macOS service, you can quickly open any given folder as a project in Visual Studio Code from the Finders context menu.
virtualgenius / ContextflowVisual DDD context mapper with Flow and Strategic views for analyzing bounded contexts and their relationships
KaihuaTang / VCTree Scene Graph GenerationCode for the Scene Graph Generation part of CVPR 2019 oral paper: "Learning to Compose Dynamic Tree Structures for Visual Contexts"
gcucurull / Visual CompatibilityContext-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646)
lancopku / LivebotLiveBot: Generating Live Video Comments Based on Visual and Textual Contexts (AAAI 2019)
cdoersch / DeepcontextAuthor's implementation of 'Unsupervised Visual Representation Learning by Context Prediction'
IDEA-Research / DINO X MCPOfficial DINO-X Model Context Protocol (MCP) server that empowers LLMs with real-world visual perception through image object detection, localization, and captioning APIs.
xiaozhen228 / VCP CLIP(ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
petiky / MCP ManagerThis is a visual client tool used to manage MCP (Model Context Protocol). With this tool, you can easily manage and operate the MCP environment without manually performing complex command-line operations.
kevalmorabia97 / CoVA Web Object DetectionA Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!
