{"total":126,"rows":[{"id":"2306.03881","title":"Emergent Correspondence from Image Diffusion","created":"2023-06-06","cited_by_count":446,"area":"diffusion"},{"id":"2305.15347","title":"A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence","created":"2023-05-24","cited_by_count":301,"area":"diffusion"},{"id":"2303.11306","title":"Localizing Object-level Shape Variations with Text-to-Image Diffusion Models","created":"2023-03-20","cited_by_count":142,"area":"diffusion"},{"id":"2308.12469","title":"Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion","created":"2023-08-23","cited_by_count":131,"area":"diffusion"},{"id":"2307.12868","title":"Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry","created":"2023-07-24","cited_by_count":125,"area":"diffusion"},{"id":"2308.06160","title":"DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models","created":"2023-08-11","cited_by_count":123,"area":"diffusion"},{"id":"2308.10916","title":"Diffusion Model as Representation Learner","created":"2023-08-21","cited_by_count":95,"area":"diffusion"},{"id":"2305.08192","title":"Diffusion Models for Imperceptible and Transferable Adversarial Attack","created":"2023-05-14","cited_by_count":94,"area":"diffusion"},{"id":"2312.07536","title":"FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition","created":"2023-12-12","cited_by_count":91,"area":"diffusion"},{"id":"2305.11281","title":"SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models","created":"2023-05-18","cited_by_count":85,"area":"diffusion"},{"id":"2309.02773","title":"Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter","created":"2023-09-06","cited_by_count":76,"area":"diffusion"},{"id":"2403.11157","title":"Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model","created":"2024-03-17","cited_by_count":73,"area":"diffusion"},{"id":"2401.14398","title":"pix2gestalt: Amodal Segmentation by Synthesizing Wholes","created":"2024-01-25","cited_by_count":70,"area":"diffusion"},{"id":"2306.09316","title":"Diffusion Models for Open-Vocabulary Segmentation","created":"2023-06-15","cited_by_count":64,"area":"diffusion"},{"id":"2312.10527","title":"CoCoGen: Physically-Consistent and Conditioned Score-based Generative Models for Forward and Inverse Problems","created":"2023-12-16","cited_by_count":56,"area":"diffusion"},{"id":"2407.00783","title":"Diffusion Models and Representation Learning: A Survey","created":"2024-06-30","cited_by_count":54,"area":"diffusion"},{"id":"2312.02150","title":"Readout Guidance: Learning Control from Diffusion Features","created":"2023-12-04","cited_by_count":52,"area":"diffusion"},{"id":"2311.17137","title":"Generative Models: What Do They Know? Do They Know Things? Let's Find Out!","created":"2023-11-28","cited_by_count":50,"area":"diffusion"},{"id":"2309.04430","title":"Create Your World: Lifelong Text-to-Image Diffusion","created":"2023-09-08","cited_by_count":46,"area":"diffusion"},{"id":"2312.03048","title":"DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control","created":"2023-12-05","cited_by_count":45,"area":"diffusion"},{"id":"2401.11739","title":"EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models","created":"2024-01-22","cited_by_count":43,"area":"diffusion"},{"id":"2311.16567","title":"MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices","created":"2023-11-28","cited_by_count":42,"area":"diffusion"},{"id":"2310.17569","title":"SD4Match: Learning to Prompt Stable Diffusion Model for Semantic Matching","created":"2023-10-26","cited_by_count":38,"area":"diffusion"},{"id":"2407.20171","title":"Diffusion Feedback Helps CLIP See Better","created":"2024-07-29","cited_by_count":38,"area":"diffusion"},{"id":"2310.07972","title":"Interpretable Diffusion via Information Decomposition","created":"2023-10-12","cited_by_count":37,"area":"diffusion"},{"id":"2306.08707","title":"VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing","created":"2023-06-14","cited_by_count":36,"area":"diffusion"},{"id":"2406.09416","title":"Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer Normalization","created":"2024-06-13","cited_by_count":36,"area":"diffusion"},{"id":"2408.12957","title":"Image Segmentation in Foundation Model Era: A Survey","created":"2024-08-23","cited_by_count":35,"area":"diffusion"},{"id":"2311.17921","title":"Do text-free diffusion models learn discriminative visual representations?","created":"2023-11-29","cited_by_count":33,"area":"diffusion"},{"id":"2310.06836","title":"A General Protocol to Probe Large Vision Models for 3D Physical Understanding","created":"2023-10-10","cited_by_count":32,"area":"diffusion"},{"id":"2306.12085","title":"HSR-Diff:Hyperspectral Image Super-Resolution via Conditional Diffusion Models","created":"2023-06-21","cited_by_count":31,"area":"diffusion"},{"id":"2307.16579","title":"Contrastive Conditional Latent Diffusion for Audio-visual Segmentation","created":"2023-07-31","cited_by_count":31,"area":"diffusion"},{"id":"2307.02138","title":"Prompting Diffusion Representations for Cross-Domain Semantic Segmentation","created":"2023-07-05","cited_by_count":30,"area":"diffusion"},{"id":"2310.00390","title":"InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists","created":"2023-09-30","cited_by_count":30,"area":"diffusion"},{"id":"2411.16725","title":"$\\textit{Revelio}$: Interpreting and leveraging semantic information in diffusion models","created":"2024-11-23","cited_by_count":30,"area":"diffusion"},{"id":"2403.14291","title":"Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models","created":"2024-03-21","cited_by_count":29,"area":"diffusion"},{"id":"2405.20325","title":"MotionFollower: Editing Video Motion via Lightweight Score-Guided Diffusion","created":"2024-05-30","cited_by_count":29,"area":"diffusion"},{"id":"2308.00303","title":"Diffusion Model for Camouflaged Object Detection","created":"2023-08-01","cited_by_count":27,"area":"diffusion"},{"id":"2311.16102","title":"Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback","created":"2023-11-27","cited_by_count":27,"area":"diffusion"},{"id":"2312.09256","title":"LIME: Localized Image Editing via Attention Regularization in Diffusion Models","created":"2023-12-14","cited_by_count":27,"area":"diffusion"},{"id":"2403.12042","title":"Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation","created":"2024-03-18","cited_by_count":27,"area":"diffusion"},{"id":"2311.04391","title":"3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features","created":"2023-11-07","cited_by_count":26,"area":"diffusion"},{"id":"2403.12931","title":"You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs","created":"2024-03-19","cited_by_count":26,"area":"diffusion"},{"id":"2410.03558","title":"Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features","created":"2024-10-04","cited_by_count":25,"area":"diffusion"},{"id":"2509.18096","title":"Seg4Diff: Unveiling Open-Vocabulary Segmentation in Text-to-Image Diffusion Transformers","created":"2025-09-22","cited_by_count":24,"area":"diffusion"},{"id":"2310.12868","title":"DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model","created":"2023-10-19","cited_by_count":23,"area":"diffusion"},{"id":"2305.12252","title":"Boosting Human-Object Interaction Detection with Text-to-Image Diffusion Model","created":"2023-05-20","cited_by_count":22,"area":"diffusion"},{"id":"2311.14768","title":"AdaDiff: Adaptive Step Selection for Fast Diffusion Models","created":"2023-11-24","cited_by_count":20,"area":"diffusion"},{"id":"2405.20282","title":"SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow","created":"2024-05-30","cited_by_count":20,"area":"diffusion"},{"id":"2401.10227","title":"A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting","created":"2024-01-18","cited_by_count":18,"area":"diffusion"},{"id":"2405.15199","title":"ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models","created":"2024-05-24","cited_by_count":17,"area":"diffusion"},{"id":"2309.04109","title":"From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion Models","created":"2023-09-08","cited_by_count":16,"area":"diffusion"},{"id":"2410.02369","title":"Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation","created":"2024-10-03","cited_by_count":16,"area":"diffusion"},{"id":"2410.10168","title":"First Creating Backgrounds Then Rendering Texts: A New Paradigm for Visual Text Blending","created":"2024-10-14","cited_by_count":16,"area":"diffusion"},{"id":"2410.20155","title":"Human-Object Interaction Detection Collaborated with Large Relation-driven Diffusion Models","created":"2024-10-26","cited_by_count":15,"area":"diffusion"},{"id":"2403.12852","title":"Generative Enhancement for 3D Medical Images","created":"2024-03-19","cited_by_count":14,"area":"diffusion"},{"id":"2407.05352","title":"Exploring Phrase-Level Grounding with Text-to-Image Diffusion Model","created":"2024-07-07","cited_by_count":13,"area":"diffusion"},{"id":"2403.09616","title":"Explore In-Context Segmentation via Latent Diffusion Models","created":"2024-03-14","cited_by_count":12,"area":"diffusion"},{"id":"2403.18791","title":"Object Pose Estimation via the Aggregation of Diffusion Features","created":"2024-03-27","cited_by_count":12,"area":"diffusion"},{"id":"2403.20105","title":"FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models","created":"2024-03-29","cited_by_count":12,"area":"diffusion"},{"id":"2407.13642","title":"Open-Vocabulary 3D Semantic Segmentation with Text-to-Image Diffusion Models","created":"2024-07-18","cited_by_count":12,"area":"diffusion"},{"id":"2403.11194","title":"MaskDiffusion: Exploiting Pre-trained Diffusion Models for Semantic Segmentation","created":"2024-03-17","cited_by_count":11,"area":"diffusion"},{"id":"2405.01496","title":"LocInv: Localization-aware Inversion for Text-Guided Image Editing","created":"2024-05-02","cited_by_count":11,"area":"diffusion"},{"id":"2408.15241","title":"GenRec: Unifying Video Generation and Recognition with Diffusion Models","created":"2024-08-27","cited_by_count":11,"area":"diffusion"},{"id":"2403.12396","title":"OV9D: Open-Vocabulary Category-Level 9D Object Pose and Size Estimation","created":"2024-03-19","cited_by_count":10,"area":"diffusion"},{"id":"2409.03209","title":"iSeg: An Iterative Refinement-based Framework for Training-free Segmentation","created":"2024-09-05","cited_by_count":10,"area":"diffusion"},{"id":"2412.04432","title":"Divot: Diffusion Powers Video Tokenizer for Comprehension and Generation","created":"2024-12-05","cited_by_count":9,"area":"diffusion"},{"id":"2403.07214","title":"Text-to-Image Diffusion Models are Great Sketch-Photo Matchmakers","created":"2024-03-12","cited_by_count":8,"area":"diffusion"},{"id":"2409.18214","title":"Trustworthy Text-to-Image Diffusion Models: A Timely and Focused Survey","created":"2024-09-26","cited_by_count":6,"area":"diffusion"},{"id":"2506.09993","title":"Text-Aware Image Restoration with Diffusion Models","created":"2025-06-11","cited_by_count":6,"area":"diffusion"},{"id":"2508.01651","title":"Diffusion Models are Open-World Affordance Learners: Leveraging Generative Priors for 3D Affordance Learning","created":"2025-08-03","cited_by_count":6,"area":"diffusion"},{"id":"2406.00777","title":"Diffusion Features to Bridge Domain Gap for Semantic Segmentation","created":"2024-06-02","cited_by_count":5,"area":"diffusion"},{"id":"2408.02752","title":"Diffusion Models as Data Mining Tools","created":"2024-07-20","cited_by_count":5,"area":"diffusion"},{"id":"2409.18256","title":"Amodal Instance Segmentation with Diffusion Shape Prior Estimation","created":"2024-09-26","cited_by_count":5,"area":"diffusion"},{"id":"2506.01539","title":"G4Seg: Generation for Inexact Segmentation Refinement with Diffusion Models","created":"2025-06-02","cited_by_count":5,"area":"diffusion"},{"id":"2309.01369","title":"Exploring Limits of Diffusion-Synthetic Training with Weakly Supervised Semantic Segmentation","created":"2023-09-04","cited_by_count":4,"area":"diffusion"},{"id":"2401.04362","title":"Representative Feature Extraction During Diffusion Process for Sketch Extraction with One Example","created":"2024-01-09","cited_by_count":4,"area":"diffusion"},{"id":"2401.16459","title":"Bridging Generative and Discriminative Models for Unified Visual Perception with Diffusion Priors","created":"2024-01-29","cited_by_count":4,"area":"diffusion"},{"id":"2402.04929","title":"Source-Free Domain Adaptation with Diffusion-Guided Source Data Generation","created":"2024-02-07","cited_by_count":4,"area":"diffusion"},{"id":"2408.07259","title":"GRIF-DM: Generation of Rich Impression Fonts using Diffusion Models","created":"2024-08-14","cited_by_count":4,"area":"diffusion"},{"id":"2410.21708","title":"Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation","created":"2024-10-29","cited_by_count":4,"area":"diffusion"},{"id":"2503.07982","title":"TRACE: Your Diffusion Model is Secretly an Instance Edge Detector","created":"2025-03-11","cited_by_count":4,"area":"diffusion"},{"id":"2504.05468","title":"Studying Image Diffusion Features for Zero-Shot Video Object Segmentation","created":"2025-04-07","cited_by_count":4,"area":"diffusion"},{"id":"2504.11457","title":"Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception","created":"2025-04-15","cited_by_count":4,"area":"diffusion"},{"id":"2604.24575","title":"Diffusion Model as a Generalist Segmentation Learner","created":"2026-04-27","cited_by_count":4,"area":"diffusion"},{"id":"2312.17505","title":"Catch Me If You Can Describe Me: Open-Vocabulary Camouflaged Instance Segmentation with Diffusion","created":"2023-12-29","cited_by_count":3,"area":"diffusion"},{"id":"2404.07600","title":"Implicit and Explicit Language Guidance for Diffusion-based Visual Perception","created":"2024-04-11","cited_by_count":3,"area":"diffusion"},{"id":"2510.10577","title":"Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging Scenes","created":"2025-10-12","cited_by_count":3,"area":"diffusion"},{"id":"2512.14320","title":"Semantic Mismatch and Perceptual Degradation: A New Perspective on Image Editing Immunity","created":"2025-12-16","cited_by_count":3,"area":"diffusion"},{"id":"2512.14341","title":"Towards Transferable Defense Against Malicious Image Edits","created":"2025-12-16","cited_by_count":3,"area":"diffusion"},{"id":"2603.06178","title":"Making Training-Free Diffusion Segmentors Scale with the Generative Power","created":"2026-03-06","cited_by_count":3,"area":"diffusion"},{"id":"2403.11077","title":"Zippo: Zipping Color and Transparency Distributions into a Single Diffusion Model","created":"2024-03-17","cited_by_count":2,"area":"diffusion"},{"id":"2406.10197","title":"Composing Parts for Expressive Object Generation","created":"2024-06-14","cited_by_count":2,"area":"diffusion"},{"id":"2410.06719","title":"Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques","created":"2024-10-09","cited_by_count":2,"area":"diffusion"},{"id":"2412.05984","title":"Nested Diffusion Models Using Hierarchical Latent Priors","created":"2024-12-08","cited_by_count":2,"area":"diffusion"},{"id":"2501.00873","title":"Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation","created":"2025-01-01","cited_by_count":2,"area":"diffusion"},{"id":"2504.17253","title":"DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks","created":"2025-04-24","cited_by_count":2,"area":"diffusion"},{"id":"2506.00327","title":"Latent Guidance in Diffusion Models for Perceptual Evaluations","created":"2025-05-31","cited_by_count":2,"area":"diffusion"},{"id":"2510.23574","title":"More Than Generation: Unifying Generation and Depth Estimation via Text-to-Image Diffusion Models","created":"2025-10-27","cited_by_count":2,"area":"diffusion"},{"id":"2305.11520","title":"LaCon: Late-Constraint Diffusion for Steerable Guided Image Synthesis","created":"2023-05-19","cited_by_count":1,"area":"diffusion"}],"next_cursor":"100"}