{"total":24,"rows":[{"id":"2304.14108","title":"DataComp: In search of the next generation of multimodal datasets","created":"2023-04-27","cited_by_count":644,"area":"diffusion"},{"id":"2310.05737","title":"Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation","created":"2023-10-09","cited_by_count":640,"area":"diffusion"},{"id":"2309.17400","title":"Directly Fine-Tuning Diffusion Models on Differentiable Rewards","created":"2023-09-29","cited_by_count":448,"area":"diffusion"},{"id":"2312.10240","title":"Rich Human Feedback for Text-to-Image Generation","created":"2023-12-15","cited_by_count":141,"area":"diffusion"},{"id":"2304.02642","title":"Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models","created":"2023-04-05","cited_by_count":117,"area":"diffusion"},{"id":"2312.04557","title":"GenTron: Diffusion Transformers for Image and Video Generation","created":"2023-12-07","cited_by_count":82,"area":"diffusion"},{"id":"2310.01110","title":"Prompt-tuning latent diffusion models for inverse problems","created":"2023-10-02","cited_by_count":70,"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":"2505.09608","title":"LightLab: Controlling Light Sources in Images with Diffusion Models","created":"2025-05-14","cited_by_count":38,"area":"diffusion"},{"id":"2409.07253","title":"Alignment of Diffusion Models: Fundamentals, Challenges, and Future","created":"2024-09-11","cited_by_count":35,"area":"diffusion"},{"id":"2312.11595","title":"SPIRE: Semantic Prompt-Driven Image Restoration","created":"2023-12-18","cited_by_count":24,"area":"diffusion"},{"id":"2403.05094","title":"Face2Diffusion for Fast and Editable Face Personalization","created":"2024-03-08","cited_by_count":17,"area":"diffusion"},{"id":"2211.11694","title":"Exploring Discrete Diffusion Models for Image Captioning","created":"2022-11-21","cited_by_count":16,"area":"diffusion"},{"id":"2311.00618","title":"De-Diffusion Makes Text a Strong Cross-Modal Interface","created":"2023-11-01","cited_by_count":14,"area":"diffusion"},{"id":"2406.07516","title":"Instant 3D Human Avatar Generation using Image Diffusion Models","created":"2024-06-11","cited_by_count":14,"area":"diffusion"},{"id":"2311.17609","title":"Curved Diffusion: A Generative Model With Optical Geometry Control","created":"2023-11-29","cited_by_count":13,"area":"diffusion"},{"id":"2509.16131","title":"Dynamic Classifier-Free Diffusion Guidance via Online Feedback","created":"2025-09-19","cited_by_count":13,"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":"2405.05852","title":"Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control","created":"2024-05-09","cited_by_count":11,"area":"diffusion"},{"id":"2312.00079","title":"HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models","created":"2023-11-30","cited_by_count":9,"area":"diffusion"},{"id":"2306.11504","title":"Align, Adapt and Inject: Sound-guided Unified Image Generation","created":"2023-06-20","cited_by_count":6,"area":"diffusion"},{"id":"2404.13299","title":"PCQA: A Strong Baseline for AIGC Quality Assessment Based on Prompt Condition","created":"2024-04-20","cited_by_count":6,"area":"diffusion"},{"id":"2507.08039","title":"Towards Evaluating Robustness of Prompt Adherence in Text to Image Models","created":"2025-07-09","cited_by_count":1,"area":"diffusion"},{"id":"2509.10913","title":"Robustifying Diffusion-Denoised Smoothing Against Covariate Shift","created":"2025-09-13","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}