{"total":23,"rows":[{"id":"2112.10752","title":"High-Resolution Image Synthesis with Latent Diffusion Models","created":"2021-12-20","cited_by_count":18863,"area":"diffusion"},{"id":"2303.01469","title":"Consistency Models","created":"2023-03-02","cited_by_count":1822,"area":"diffusion"},{"id":"2106.05931","title":"Score-based Generative Modeling in Latent Space","created":"2021-06-10","cited_by_count":636,"area":"diffusion"},{"id":"2112.07804","title":"Tackling the Generative Learning Trilemma with Denoising Diffusion GANs","created":"2021-12-15","cited_by_count":516,"area":"diffusion"},{"id":"2112.07068","title":"Score-Based Generative Modeling with Critically-Damped Langevin Diffusion","created":"2021-12-14","cited_by_count":233,"area":"diffusion"},{"id":"2201.00308","title":"DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents","created":"2022-01-02","cited_by_count":104,"area":"diffusion"},{"id":"2208.13753","title":"Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis","created":"2022-08-29","cited_by_count":75,"area":"diffusion"},{"id":"2205.13699","title":"Maximum Likelihood Training of Implicit Nonlinear Diffusion Models","created":"2022-05-27","cited_by_count":42,"area":"diffusion"},{"id":"2112.01799","title":"Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation","created":"2021-12-03","cited_by_count":40,"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":"2309.05153","title":"Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood","created":"2023-09-10","cited_by_count":19,"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":"2306.12511","title":"Semi-Implicit Denoising Diffusion Models (SIDDMs)","created":"2023-06-21","cited_by_count":14,"area":"diffusion"},{"id":"2405.17035","title":"Glauber Generative Model: Discrete Diffusion Models via Binary Classification","created":"2024-05-27","cited_by_count":11,"area":"diffusion"},{"id":"2309.01274","title":"Diffusion Models with Deterministic Normalizing Flow Priors","created":"2023-09-03","cited_by_count":7,"area":"diffusion"},{"id":"2303.05456","title":"Restoration based Generative Models","created":"2023-02-20","cited_by_count":6,"area":"diffusion"},{"id":"2311.14097","title":"ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models","created":"2023-11-23","cited_by_count":5,"area":"diffusion"},{"id":"2404.12814","title":"Generative Modelling with High-Order Langevin Dynamics","created":"2024-04-19","cited_by_count":5,"area":"diffusion"},{"id":"2307.02881","title":"Probabilistic and Semantic Descriptions of Image Manifolds and Their Applications","created":"2023-07-06","cited_by_count":3,"area":"diffusion"},{"id":"2507.09103","title":"CoVAE: Consistency Training of Variational Autoencoders","created":"2025-07-12","cited_by_count":3,"area":"diffusion"},{"id":"2206.14464","title":"SPI-GAN: Denoising Diffusion GANs with Straight-Path Interpolations","created":"2022-06-29","cited_by_count":2,"area":"diffusion"},{"id":"2308.01147","title":"Contrast-augmented Diffusion Model with Fine-grained Sequence Alignment for Markup-to-Image Generation","created":"2023-08-02","cited_by_count":0,"area":"diffusion"},{"id":"2509.01370","title":"CbLDM: A Diffusion Model for recovering nanostructure from atomic pair distribution function","created":"2025-09-01","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}