{"total":18,"rows":[{"id":"2106.05931","title":"Score-based Generative Modeling in Latent Space","created":"2021-06-10","cited_by_count":636,"area":"diffusion"},{"id":"2112.03126","title":"Label-Efficient Semantic Segmentation with Diffusion Models","created":"2021-12-06","cited_by_count":499,"area":"diffusion"},{"id":"2304.08466","title":"Synthetic Data from Diffusion Models Improves ImageNet Classification","created":"2023-04-17","cited_by_count":327,"area":"diffusion"},{"id":"2303.16203","title":"Your Diffusion Model is Secretly a Zero-Shot Classifier","created":"2023-03-28","cited_by_count":306,"area":"diffusion"},{"id":"2303.17559","title":"DDP: Diffusion Model for Dense Visual Prediction","created":"2023-03-30","cited_by_count":148,"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":"2401.11739","title":"EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models","created":"2024-01-22","cited_by_count":43,"area":"diffusion"},{"id":"2403.16605","title":"SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation","created":"2024-03-25","cited_by_count":41,"area":"diffusion"},{"id":"2303.12343","title":"LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation","created":"2023-03-22","cited_by_count":29,"area":"diffusion"},{"id":"2405.18087","title":"FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms","created":"2024-05-28","cited_by_count":25,"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":"2403.11194","title":"MaskDiffusion: Exploiting Pre-trained Diffusion Models for Semantic Segmentation","created":"2024-03-17","cited_by_count":11,"area":"diffusion"},{"id":"2305.00067","title":"Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features","created":"2023-04-28","cited_by_count":4,"area":"diffusion"},{"id":"2412.04678","title":"Unsupervised Segmentation by Diffusing, Walking and Cutting","created":"2024-12-06","cited_by_count":3,"area":"diffusion"},{"id":"2402.15216","title":"Label-efficient multi-organ segmentation with a diffusion model","created":"2024-02-23","cited_by_count":1,"area":"diffusion"},{"id":"2412.08116","title":"Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation","created":"2024-12-11","cited_by_count":1,"area":"diffusion"},{"id":"2508.06101","title":"UGD-IML: A Unified Generative Diffusion-based Framework for Constrained and Unconstrained Image Manipulation Localization","created":"2025-08-08","cited_by_count":0,"area":"diffusion"},{"id":"2605.19289","title":"What Makes Synthetic Data Effective in Image Segmentation","created":"2026-05-19","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}