{"total":19,"rows":[{"id":"2303.16203","title":"Your Diffusion Model is Secretly a Zero-Shot Classifier","created":"2023-03-28","cited_by_count":306,"area":"diffusion"},{"id":"2303.15233","title":"Text-to-Image Diffusion Models are Zero-Shot Classifiers","created":"2023-03-27","cited_by_count":143,"area":"diffusion"},{"id":"2307.08702","title":"Diffusion Models Beat GANs on Image Classification","created":"2023-07-17","cited_by_count":58,"area":"diffusion"},{"id":"2307.01849","title":"Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning","created":"2023-07-04","cited_by_count":40,"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":"2312.01985","title":"UniGS: Unified Representation for Image Generation and Segmentation","created":"2023-12-04","cited_by_count":29,"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":"2409.18336","title":"DeBaRA: Denoising-Based 3D Room Arrangement Generation","created":"2024-09-26","cited_by_count":20,"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":"2306.01721","title":"Denoising Diffusion Semantic Segmentation with Mask Prior Modeling","created":"2023-06-02","cited_by_count":15,"area":"diffusion"},{"id":"2312.04566","title":"Gen2Det: Generate to Detect","created":"2023-12-07","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":"2502.16872","title":"Mitigating Hallucinations in Diffusion Models through Adaptive Attention Modulation","created":"2025-02-24","cited_by_count":11,"area":"diffusion"},{"id":"2411.10745","title":"Bridging the Skeleton-Text Modality Gap: Diffusion-Powered Modality Alignment for Zero-shot Skeleton-based Action Recognition","created":"2024-11-16","cited_by_count":9,"area":"diffusion"},{"id":"2412.12594","title":"A Simple and Efficient Baseline for Zero-Shot Generative Classification","created":"2024-12-17","cited_by_count":7,"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":"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":"2506.02858","title":"DGMO: Training-Free Audio Source Separation through Diffusion-Guided Mask Optimization","created":"2025-06-03","cited_by_count":2,"area":"diffusion"}],"next_cursor":null}