{"total":59,"rows":[{"id":"2204.06125","title":"Hierarchical Text-Conditional Image Generation with CLIP Latents","created":"2022-04-13","cited_by_count":6585,"area":"diffusion"},{"id":"2205.11487","title":"Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding","created":"2022-05-23","cited_by_count":6355,"area":"diffusion"},{"id":"2112.10741","title":"GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models","created":"2021-12-20","cited_by_count":3614,"area":"diffusion"},{"id":"2307.04725","title":"AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning","created":"2023-07-10","cited_by_count":1433,"area":"diffusion"},{"id":"2311.18828","title":"One-step Diffusion with Distribution Matching Distillation","created":"2023-11-30","cited_by_count":1019,"area":"diffusion"},{"id":"2301.07093","title":"GLIGEN: Open-Set Grounded Text-to-Image Generation","created":"2023-01-17","cited_by_count":781,"area":"diffusion"},{"id":"2405.14867","title":"Improved Distribution Matching Distillation for Fast Image Synthesis","created":"2024-05-23","cited_by_count":684,"area":"diffusion"},{"id":"2401.03048","title":"Latte: Latent Diffusion Transformer for Video Generation","created":"2024-01-05","cited_by_count":546,"area":"diffusion"},{"id":"2209.12152","title":"All are Worth Words: A ViT Backbone for Diffusion Models","created":"2022-09-25","cited_by_count":502,"area":"diffusion"},{"id":"2309.06380","title":"InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation","created":"2023-09-12","cited_by_count":395,"area":"diffusion"},{"id":"2212.05032","title":"Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis","created":"2022-12-09","cited_by_count":388,"area":"diffusion"},{"id":"2303.04803","title":"Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models","created":"2023-03-08","cited_by_count":375,"area":"diffusion"},{"id":"2303.07909","title":"Text-to-image Diffusion Models in Generative AI: A Survey","created":"2023-03-14","cited_by_count":265,"area":"diffusion"},{"id":"2203.09481","title":"Diffusion Probabilistic Modeling for Video Generation","created":"2022-03-16","cited_by_count":238,"area":"diffusion"},{"id":"2305.12082","title":"SneakyPrompt: Jailbreaking Text-to-image Generative Models","created":"2023-05-20","cited_by_count":189,"area":"diffusion"},{"id":"2311.09257","title":"UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs","created":"2023-11-14","cited_by_count":166,"area":"diffusion"},{"id":"2212.14704","title":"Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models","created":"2022-12-28","cited_by_count":151,"area":"diffusion"},{"id":"2210.15257","title":"ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts","created":"2022-10-27","cited_by_count":112,"area":"diffusion"},{"id":"2304.05390","title":"HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models","created":"2023-04-11","cited_by_count":95,"area":"diffusion"},{"id":"2301.12959","title":"GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis","created":"2023-01-30","cited_by_count":85,"area":"diffusion"},{"id":"2410.07303","title":"Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow","created":"2024-10-09","cited_by_count":61,"area":"diffusion"},{"id":"2410.08261","title":"Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis","created":"2024-10-10","cited_by_count":56,"area":"diffusion"},{"id":"2403.11614","title":"CRS-Diff: Controllable Remote Sensing Image Generation with Diffusion Model","created":"2024-03-18","cited_by_count":55,"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":"2211.14842","title":"Unified Discrete Diffusion for Simultaneous Vision-Language Generation","created":"2022-11-27","cited_by_count":39,"area":"diffusion"},{"id":"2210.06462","title":"Self-Guided Diffusion Models","created":"2022-10-12","cited_by_count":37,"area":"diffusion"},{"id":"2211.15388","title":"Shifted Diffusion for Text-to-image Generation","created":"2022-11-24","cited_by_count":37,"area":"diffusion"},{"id":"2211.17084","title":"High-Fidelity Guided Image Synthesis with Latent Diffusion Models","created":"2022-11-30","cited_by_count":36,"area":"diffusion"},{"id":"2401.02015","title":"Improving Diffusion-Based Image Synthesis with Context Prediction","created":"2024-01-04","cited_by_count":32,"area":"diffusion"},{"id":"2410.18881","title":"Diff-Instruct++: Training One-step Text-to-image Generator Model to Align with Human Preferences","created":"2024-10-24","cited_by_count":31,"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":"2402.05947","title":"Separable Multi-Concept Erasure from Diffusion Models","created":"2024-02-03","cited_by_count":28,"area":"diffusion"},{"id":"2405.14822","title":"PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher","created":"2024-05-23","cited_by_count":27,"area":"diffusion"},{"id":"2312.04655","title":"ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations","created":"2023-12-07","cited_by_count":24,"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":"2304.10278","title":"Not Only Generative Art: Stable Diffusion for Content-Style Disentanglement in Art Analysis","created":"2023-04-20","cited_by_count":18,"area":"diffusion"},{"id":"2309.04399","title":"MaskDiffusion: Boosting Text-to-Image Consistency with Conditional Mask","created":"2023-09-08","cited_by_count":17,"area":"diffusion"},{"id":"2404.13903","title":"Accelerating Image Generation with Sub-path Linear Approximation Model","created":"2024-04-22","cited_by_count":14,"area":"diffusion"},{"id":"2305.15798","title":"BK-SDM: A Lightweight, Fast, and Cheap Version of Stable Diffusion","created":"2023-05-25","cited_by_count":13,"area":"diffusion"},{"id":"2406.01561","title":"Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation","created":"2024-06-03","cited_by_count":13,"area":"diffusion"},{"id":"2505.12674","title":"Few-Step Diffusion via Score identity Distillation","created":"2025-05-19","cited_by_count":12,"area":"diffusion"},{"id":"2601.06162","title":"Forget Many, Forget Right: Scalable and Precise Concept Unlearning in Diffusion Models","created":"2026-01-06","cited_by_count":9,"area":"diffusion"},{"id":"2210.09549","title":"Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for Text-to-Image Generation","created":"2022-10-18","cited_by_count":7,"area":"diffusion"},{"id":"2505.11196","title":"DiCo: Revitalizing ConvNets for Scalable and Efficient Diffusion Modeling","created":"2025-05-16","cited_by_count":6,"area":"diffusion"},{"id":"2403.00570","title":"Rethinking cluster-conditioned diffusion models for label-free image synthesis","created":"2024-03-01","cited_by_count":5,"area":"diffusion"},{"id":"2407.01921","title":"GVDIFF: Grounded Text-to-Video Generation with Diffusion Models","created":"2024-07-02","cited_by_count":4,"area":"diffusion"},{"id":"2601.06163","title":"Forget-It-All: Multi-Concept Machine Unlearning via Concept-Aware Neuron Masking","created":"2026-01-07","cited_by_count":4,"area":"diffusion"},{"id":"2403.14944","title":"CLIP-VQDiffusion : Langauge Free Training of Text To Image generation using CLIP and vector quantized diffusion model","created":"2024-03-22","cited_by_count":2,"area":"diffusion"},{"id":"2307.04978","title":"Diffusion idea exploration for art generation","created":"2023-07-11","cited_by_count":1,"area":"diffusion"},{"id":"2402.16627","title":"Contextualized Diffusion Models for Text-Guided Image and Video Generation","created":"2024-02-26","cited_by_count":1,"area":"diffusion"},{"id":"2411.17310","title":"Reward Incremental Learning in Text-to-Image Generation","created":"2024-11-26","cited_by_count":1,"area":"diffusion"},{"id":"2412.16717","title":"GANFusion: Feed-Forward Text-to-3D with Diffusion in GAN Space","created":"2024-12-21","cited_by_count":1,"area":"diffusion"},{"id":"2507.19071","title":"Cross-Subject Mind Decoding from Inaccurate Representations","created":"2025-07-25","cited_by_count":1,"area":"diffusion"},{"id":"2508.04732","title":"LumiGen: An LVLM-Enhanced Iterative Framework for Fine-Grained Text-to-Image Generation","created":"2025-08-05","cited_by_count":1,"area":"diffusion"},{"id":"2610.05401","title":"No Concept Escapes the Audit: Auditing-Aware Unlearning for Verifiable Concept Erasure in Diffusion Models","created":"2026-10-04","cited_by_count":1,"area":"diffusion"},{"id":"2311.16488","title":"Efficient Multimodal Diffusion Models Using Joint Data Infilling with Partially Shared U-Net","created":"2023-11-28","cited_by_count":0,"area":"diffusion"},{"id":"2408.08561","title":"A New Chinese Landscape Paintings Generation Model based on Stable Diffusion using DreamBooth","created":"2024-08-16","cited_by_count":0,"area":"diffusion"},{"id":"2508.17050","title":"PVNet: Point-Voxel Interaction LiDAR Scene Upsampling Via Diffusion Models","created":"2025-08-23","cited_by_count":0,"area":"diffusion"},{"id":"2608.01896","title":"GeoCore-9B: Towards Geo-Aware Generative Foundation Models in Earth Observation","created":"2026-08-03","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}