{"total":37,"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":"2206.01714","title":"Compositional Visual Generation with Composable Diffusion Models","created":"2022-06-03","cited_by_count":624,"area":"diffusion"},{"id":"2505.15809","title":"MMaDA: Multimodal Large Diffusion Language Models","created":"2025-05-21","cited_by_count":250,"area":"diffusion"},{"id":"2302.11552","title":"Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC","created":"2023-02-22","cited_by_count":220,"area":"diffusion"},{"id":"2306.08877","title":"Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment","created":"2023-06-15","cited_by_count":171,"area":"diffusion"},{"id":"2211.09869","title":"RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation","created":"2022-11-17","cited_by_count":162,"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":"2310.07204","title":"State of the Art on Diffusion Models for Visual Computing","created":"2023-10-11","cited_by_count":127,"area":"diffusion"},{"id":"2310.09336","title":"Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task","created":"2023-10-13","cited_by_count":93,"area":"diffusion"},{"id":"2303.10834","title":"Object-Centric Slot Diffusion","created":"2023-03-20","cited_by_count":90,"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":"2304.10700","title":"Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models","created":"2023-04-21","cited_by_count":76,"area":"diffusion"},{"id":"2304.03246","title":"Inst-Inpaint: Instructing to Remove Objects with Diffusion Models","created":"2023-04-06","cited_by_count":66,"area":"diffusion"},{"id":"2312.04559","title":"PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation","created":"2023-12-07","cited_by_count":34,"area":"diffusion"},{"id":"2309.00613","title":"Iterative Multi-granular Image Editing using Diffusion Models","created":"2023-09-01","cited_by_count":20,"area":"diffusion"},{"id":"2407.07077","title":"ConceptExpress: Harnessing Diffusion Models for Single-image Unsupervised Concept Extraction","created":"2024-07-09","cited_by_count":16,"area":"diffusion"},{"id":"2502.04549","title":"Mechanisms of Projective Composition of Diffusion Models","created":"2025-02-06","cited_by_count":14,"area":"diffusion"},{"id":"2501.15878","title":"Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation","created":"2025-01-27","cited_by_count":13,"area":"diffusion"},{"id":"2406.19298","title":"Compositional Image Decomposition with Diffusion Models","created":"2024-06-27","cited_by_count":12,"area":"diffusion"},{"id":"2504.06675","title":"Probability Density Geodesics in Image Diffusion Latent Space","created":"2025-04-09","cited_by_count":9,"area":"diffusion"},{"id":"2203.12849","title":"Complex Scene Image Editing by Scene Graph Comprehension","created":"2022-03-24","cited_by_count":7,"area":"diffusion"},{"id":"2505.17955","title":"Diffusion Classifiers Understand Compositionality, but Conditions Apply","created":"2025-05-23","cited_by_count":7,"area":"diffusion"},{"id":"2506.06023","title":"Restereo: Diffusion stereo video generation and restoration","created":"2025-06-06","cited_by_count":7,"area":"diffusion"},{"id":"2210.05147","title":"Markup-to-Image Diffusion Models with Scheduled Sampling","created":"2022-10-11","cited_by_count":6,"area":"diffusion"},{"id":"2311.10708","title":"SelfEval: Leveraging the discriminative nature of generative models for evaluation","created":"2023-11-17","cited_by_count":5,"area":"diffusion"},{"id":"2405.19201","title":"Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations","created":"2024-05-29","cited_by_count":5,"area":"diffusion"},{"id":"2410.08309","title":"Swing-by Dynamics in Concept Learning and Compositional Generalization","created":"2024-10-10","cited_by_count":5,"area":"diffusion"},{"id":"2508.20783","title":"Evaluating Compositional Generalisation in VLMs and Diffusion Models","created":"2025-08-28","cited_by_count":5,"area":"diffusion"},{"id":"2509.16447","title":"Local Mechanisms of Compositional Generalization in Conditional Diffusion","created":"2025-09-19","cited_by_count":3,"area":"diffusion"},{"id":"2601.22057","title":"Unsupervised Decomposition and Recombination with Discriminator-Driven Diffusion Models","created":"2026-01-29","cited_by_count":3,"area":"diffusion"},{"id":"2505.22805","title":"Anomalies by Synthesis: Anomaly Detection using Generative Diffusion Models for Off-Road Navigation","created":"2025-05-28","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":"2605.00273","title":"When Do Diffusion Models learn to Generate Multiple Objects?","created":"2026-04-30","cited_by_count":1,"area":"diffusion"},{"id":"2409.06364","title":"What happens to diffusion model likelihood when your model is conditional?","created":"2024-09-10","cited_by_count":0,"area":"diffusion"},{"id":"2505.13740","title":"Improving Compositional Generation with Diffusion Models Using Lift Scores","created":"2025-05-19","cited_by_count":0,"area":"diffusion"},{"id":"2605.23275","title":"Diffusion Domain Expansion: Learning to Coordinate Pre-trained Diffusion Models","created":"2026-05-22","cited_by_count":0,"area":"diffusion"},{"id":"2610.03068","title":"Where to Look Is Not How to Fix: Pre-Denoising Diagnostics and Modality-Dependent Control in Diffusion Composition","created":"2026-10-02","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}