{"total":110,"rows":[{"id":"2410.02073","title":"Depth Pro: Sharp Monocular Metric Depth in Less Than a Second","created":"2024-10-02","cited_by_count":404,"area":null},{"id":"2306.01567","title":"Segment Anything in High Quality","created":"2023-06-02","cited_by_count":376,"area":null},{"id":"2309.03903","title":"Tracking Anything with Decoupled Video Segmentation","created":"2023-09-07","cited_by_count":197,"area":null},{"id":"2212.03267","title":"NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors","created":"2022-12-06","cited_by_count":156,"area":"diffusion"},{"id":"2304.05750","title":"Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications","created":"2023-04-12","cited_by_count":121,"area":null},{"id":"2311.06243","title":"Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization","created":"2023-11-10","cited_by_count":114,"area":null},{"id":"2401.03407","title":"Bilateral Reference for High-Resolution Dichotomous Image Segmentation","created":"2024-01-07","cited_by_count":112,"area":null},{"id":"2211.05776","title":"High-Quality Entity Segmentation","created":"2022-11-10","cited_by_count":93,"area":null},{"id":"2402.08682","title":"IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation","created":"2024-02-13","cited_by_count":84,"area":null},{"id":"2403.06090","title":"What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?","created":"2024-03-10","cited_by_count":74,"area":"diffusion"},{"id":"2404.03421","title":"Gen3DSR: Generalizable 3D Scene Reconstruction via Divide and Conquer from a Single View","created":"2024-04-04","cited_by_count":61,"area":null},{"id":"2403.12034","title":"VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Models","created":"2024-03-18","cited_by_count":56,"area":"diffusion"},{"id":"2304.11234","title":"Advances in Deep Concealed Scene Understanding","created":"2023-04-21","cited_by_count":47,"area":null},{"id":"2303.08730","title":"DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection","created":"2023-03-15","cited_by_count":46,"area":"diffusion"},{"id":"2506.22624","title":"Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning","created":"2025-06-27","cited_by_count":44,"area":"lr"},{"id":"2304.14660","title":"Segment Anything Model for Medical Images?","created":"2023-04-28","cited_by_count":39,"area":null},{"id":"2209.09475","title":"Revisiting Image Pyramid Structure for High Resolution Salient Object Detection","created":"2022-09-20","cited_by_count":36,"area":null},{"id":"2311.13602","title":"Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation","created":"2023-11-22","cited_by_count":35,"area":"rag"},{"id":"2503.08625","title":"SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories","created":"2025-03-11","cited_by_count":30,"area":null},{"id":"2312.12425","title":"SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process","created":"2023-12-19","cited_by_count":29,"area":"diffusion"},{"id":"2403.07347","title":"Frequency Decoupling for Motion Magnification via Multi-Level Isomorphic Architecture","created":"2024-03-12","cited_by_count":28,"area":null},{"id":"2404.07445","title":"Multi-view Aggregation Network for Dichotomous Image Segmentation","created":"2024-04-11","cited_by_count":28,"area":null},{"id":"2310.15168","title":"Ghost on the Shell: An Expressive Representation of General 3D Shapes","created":"2023-10-23","cited_by_count":24,"area":null},{"id":"2404.00741","title":"Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts","created":"2024-03-31","cited_by_count":22,"area":null},{"id":"2304.14630","title":"Let the Chart Spark: Embedding Semantic Context into Chart with Text-to-Image Generative Model","created":"2023-04-28","cited_by_count":21,"area":null},{"id":"2408.14826","title":"Alfie: Democratising RGBA Image Generation With No $$$","created":"2024-08-27","cited_by_count":20,"area":null},{"id":"2406.19369","title":"Mamba or RWKV: Exploring High-Quality and High-Efficiency Segment Anything Model","created":"2024-06-27","cited_by_count":18,"area":"ssm"},{"id":"2307.14052","title":"Unite-Divide-Unite: Joint Boosting Trunk and Structure for High-accuracy Dichotomous Image Segmentation","created":"2023-07-26","cited_by_count":17,"area":null},{"id":"2401.13051","title":"PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation","created":"2024-01-23","cited_by_count":17,"area":null},{"id":"2411.00626","title":"ZIM: Zero-Shot Image Matting for Anything","created":"2024-11-01","cited_by_count":16,"area":null},{"id":"2505.07843","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","created":"2025-05-06","cited_by_count":16,"area":null},{"id":"2401.02317","title":"BA-SAM: Scalable Bias-Mode Attention Mask for Segment Anything Model","created":"2024-01-04","cited_by_count":15,"area":null},{"id":"2412.04237","title":"VASCAR: Content-Aware Layout Generation via Visual-Aware Self-Correction","created":"2024-12-05","cited_by_count":15,"area":null},{"id":"2412.19080","title":"Mask Factory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation","created":"2024-12-26","cited_by_count":15,"area":null},{"id":"2404.07031","title":"ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain Modeling","created":"2024-04-10","cited_by_count":14,"area":"mllm"},{"id":"2410.09909","title":"UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation","created":"2024-10-13","cited_by_count":14,"area":null},{"id":"2509.25172","title":"Personalized Vision via Visual In-Context Learning","created":"2025-09-29","cited_by_count":14,"area":null},{"id":"2402.02555","title":"High-Quality Entity Segmentation and Grounding","created":"2024-02-04","cited_by_count":13,"area":null},{"id":"2305.14955","title":"DC-Net: Divide-and-Conquer for Salient Object Detection","created":"2023-05-24","cited_by_count":12,"area":null},{"id":"2503.12035","title":"MOS: Modeling Object-Scene Associations in Generalized Category Discovery","created":"2025-03-15","cited_by_count":10,"area":null},{"id":"2412.01240","title":"Inspiring the Next Generation of Segment Anything Models: Comprehensively Evaluate SAM and SAM 2 with Diverse Prompts Towards Context-Dependent Concepts under Different Scenes","created":"2024-12-02","cited_by_count":9,"area":null},{"id":"2306.09269","title":"Zero-Shot Anomaly Detection with Pre-trained Segmentation Models","created":"2023-06-15","cited_by_count":8,"area":null},{"id":"2306.17140","title":"ID-Pose: Sparse-view Camera Pose Estimation by Inverting Diffusion Models","created":"2023-06-29","cited_by_count":8,"area":"diffusion"},{"id":"2309.17083","title":"SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning","created":"2023-09-29","cited_by_count":8,"area":null},{"id":"2410.07472","title":"Exploring the design space of deep-learning-based weather forecasting systems","created":"2024-10-09","cited_by_count":8,"area":null},{"id":"2505.22490","title":"ProCrop: Learning Aesthetic Image Cropping from Professional Compositions","created":"2025-05-28","cited_by_count":8,"area":null},{"id":"2301.05323","title":"Salient Object Detection for Images Taken by People With Vision Impairments","created":"2023-01-12","cited_by_count":7,"area":null},{"id":"2410.10105","title":"High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity","created":"2024-10-14","cited_by_count":7,"area":"diffusion"},{"id":"2411.17945","title":"MARVEL-40M+: Multi-Level Visual Elaboration for High-Fidelity Text-to-3D Content Creation","created":"2024-11-26","cited_by_count":7,"area":null},{"id":"2501.06230","title":"BEN: Using Confidence-Guided Matting for Dichotomous Image Segmentation","created":"2025-01-08","cited_by_count":7,"area":null},{"id":"2512.00395","title":"Better, Stronger, Faster: Tackling the Trilemma in MLLM-based Segmentation with Simultaneous Textual Mask Prediction","created":"2025-11-29","cited_by_count":7,"area":"mllm"},{"id":"2311.15776","title":"Stable Segment Anything Model","created":"2023-11-27","cited_by_count":6,"area":null},{"id":"2410.01535","title":"GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians","created":"2024-10-02","cited_by_count":6,"area":null},{"id":"2510.21605","title":"S3OD: Towards Generalizable Salient Object Detection with Synthetic Data","created":"2025-10-24","cited_by_count":6,"area":null},{"id":"2404.10157","title":"Salient Object-Aware Background Generation using Text-Guided Diffusion Models","created":"2024-04-15","cited_by_count":5,"area":"diffusion"},{"id":"2409.02567","title":"Evaluation Study on SAM 2 for Class-agnostic Instance-level Segmentation","created":"2024-09-04","cited_by_count":5,"area":null},{"id":"2409.11518","title":"Robot Manipulation in Salient Vision through Referring Image Segmentation and Geometric Constraints","created":"2024-09-17","cited_by_count":5,"area":null},{"id":"2412.00671","title":"FiffDepth: Feed-forward Transformation of Diffusion-Based Generators for Detailed Depth Estimation","created":"2024-12-01","cited_by_count":5,"area":"diffusion"},{"id":"2412.04243","title":"Quantifying the Limits of Segmentation Foundation Models: Modeling Challenges in Segmenting Tree-Like and Low-Contrast Objects","created":"2024-12-05","cited_by_count":5,"area":null},{"id":"2401.00248","title":"Promoting Segment Anything Model towards Highly Accurate Dichotomous Image Segmentation","created":"2023-12-30","cited_by_count":4,"area":null},{"id":"2408.14135","title":"Foodfusion: A Novel Approach for Food Image Composition via Diffusion Models","created":"2024-08-26","cited_by_count":4,"area":"diffusion"},{"id":"2509.12883","title":"Lego-Edit: A General Image Editing Framework with Model-Level Bricks and MLLM Builder","created":"2025-09-16","cited_by_count":4,"area":null},{"id":"2601.20524","title":"AnomalyVFM -- Transforming Vision Foundation Models into Zero-Shot Anomaly Detectors","created":"2026-01-28","cited_by_count":4,"area":null},{"id":"2309.09183","title":"CLIPUNetr: Assisting Human-robot Interface for Uncalibrated Visual Servoing Control with CLIP-driven Referring Expression Segmentation","created":"2023-09-17","cited_by_count":3,"area":null},{"id":"2401.17803","title":"SU-SAM: A Simple Unified Framework for Adapting Segment Anything Model in Underperformed Scenes","created":"2024-01-31","cited_by_count":3,"area":null},{"id":"2402.15504","title":"Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition","created":"2024-02-23","cited_by_count":3,"area":"diffusion"},{"id":"2406.19057","title":"Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO","created":"2024-06-27","cited_by_count":3,"area":null},{"id":"2501.06836","title":"SAM-DA: Decoder Adapter for Efficient Medical Domain Adaptation","created":"2025-01-12","cited_by_count":3,"area":null},{"id":"2503.10697","title":"Zero-Shot Subject-Centric Generation for Creative Application Using Entropy Fusion","created":"2025-03-12","cited_by_count":3,"area":null},{"id":"2506.20279","title":"From Ideal to Real: Unified and Data-Efficient Dense Prediction for Real-World Scenarios","created":"2025-06-25","cited_by_count":3,"area":null},{"id":"2601.00537","title":"Boosting Segment Anything Model to Generalize Visually Non-Salient Scenarios","created":"2026-01-02","cited_by_count":3,"area":null},{"id":"2306.05428","title":"Background Prompting for Improved Object Depth","created":"2023-06-08","cited_by_count":2,"area":null},{"id":"2312.02521","title":"RetriBooru: Leakage-Free Retrieval of Conditions from Reference Images for Subject-Driven Generation","created":"2023-12-05","cited_by_count":2,"area":null},{"id":"2404.04469","title":"Mixed-Query Transformer: A Unified Image Segmentation Architecture","created":"2024-04-06","cited_by_count":2,"area":null},{"id":"2408.11535","title":"SAM-REF: Introducing Image-Prompt Synergy during Interaction for Detail Enhancement in the Segment Anything Model","created":"2024-08-21","cited_by_count":2,"area":null},{"id":"2503.18364","title":"MaSS13K: A Matting-level Semantic Segmentation Benchmark","created":"2025-03-24","cited_by_count":2,"area":null},{"id":"2503.22351","title":"One Look is Enough: Seamless Patchwise Refinement for Zero-Shot Monocular Depth Estimation on High-Resolution Images","created":"2025-03-28","cited_by_count":2,"area":null},{"id":"2505.20649","title":"Scan-and-Print: Patch-level Data Summarization and Augmentation for Content-aware Layout Generation in Poster Design","created":"2025-05-27","cited_by_count":2,"area":null},{"id":"2509.14638","title":"MultiEdit: Advancing Instruction-based Image Editing on Diverse and Challenging Tasks","created":"2025-09-18","cited_by_count":2,"area":null},{"id":"2603.07307","title":"StructSAM: Structure- and Spectrum-Preserving Token Merging for Segment Anything Models","created":"2026-03-07","cited_by_count":2,"area":"inference"},{"id":"2306.03497","title":"Instructive Feature Enhancement for Dichotomous Medical Image Segmentation","created":"2023-06-06","cited_by_count":1,"area":null},{"id":"2407.15233","title":"LayoutDiT: Exploring Content-Graphic Balance in Layout Generation with Diffusion Transformer","created":"2024-07-21","cited_by_count":1,"area":"diffusion"},{"id":"2409.06764","title":"Modeling Image Tone Dichotomy with the Power Function","created":"2024-09-10","cited_by_count":1,"area":null},{"id":"2502.09660","title":"Towards Fine-grained Interactive Segmentation in Images and Videos","created":"2025-02-12","cited_by_count":1,"area":null},{"id":"2503.06100","title":"High-Precision Dichotomous Image Segmentation via Depth Integrity-Prior and Fine-Grained Patch Strategy","created":"2025-03-08","cited_by_count":1,"area":null},{"id":"2504.12689","title":"HSS-IAD: A Heterogeneous Same-Sort Industrial Anomaly Detection Dataset","created":"2025-04-17","cited_by_count":1,"area":null},{"id":"2508.01152","title":"LawDIS: Language-Window-based Controllable Dichotomous Image Segmentation","created":"2025-08-02","cited_by_count":1,"area":null},{"id":"2508.03566","title":"SAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks","created":"2025-08-05","cited_by_count":1,"area":null},{"id":"2510.09171","title":"Instance-Level Generation for Representation Learning","created":"2025-10-10","cited_by_count":1,"area":null},{"id":"2605.14552","title":"LiWi: Layering in the Wild","created":"2026-05-14","cited_by_count":1,"area":null},{"id":"2607.00886","title":"Beyond Pixel Overlap: A Framework for Decomposing Segmentation Evaluation Metrics","created":"2026-07-01","cited_by_count":1,"area":null},{"id":"2310.19188","title":"3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets","created":"2023-10-29","cited_by_count":0,"area":null},{"id":"2312.01943","title":"Instance-guided Cartoon Editing with a Large-scale Dataset","created":"2023-12-04","cited_by_count":0,"area":null},{"id":"2408.01137","title":"PGNeXt: High-Resolution Salient Object Detection via Pyramid Grafting Network","created":"2024-08-02","cited_by_count":0,"area":null},{"id":"2504.14481","title":"LSP-ST: Ladder Shape-Biased Side-Tuning for Robust Infrared Small Target Detection","created":"2025-04-20","cited_by_count":0,"area":null},{"id":"2505.22105","title":"Adapting Segment Anything Model for Power Transmission Corridor Hazard Segmentation","created":"2025-05-28","cited_by_count":0,"area":null},{"id":"2508.15243","title":"Comp-X: On Defining an Interactive Learned Image Compression Paradigm With Expert-driven LLM Agent","created":"2025-08-21","cited_by_count":0,"area":"lr"},{"id":"2512.07062","title":"$\\mathrm{D}^\\mathrm{3}$-Predictor: Noise-Free Deterministic Diffusion for Dense Prediction","created":"2025-12-08","cited_by_count":0,"area":"diffusion"},{"id":"2512.08325","title":"GeoDiffMM: Geometry-Guided Conditional Diffusion for Motion Magnification","created":"2025-12-09","cited_by_count":0,"area":null},{"id":"2512.08897","title":"UniLayDiff: A Unified Diffusion Transformer for Content-Aware Layout Generation","created":"2025-12-09","cited_by_count":0,"area":"diffusion"}],"next_cursor":"100"}