{"total":52,"rows":[{"id":"2106.15282","title":"Cascaded Diffusion Models for High Fidelity Image Generation","created":"2021-05-30","cited_by_count":1163,"area":"diffusion"},{"id":"2406.04329","title":"Simplified and Generalized Masked Diffusion for Discrete Data","created":"2024-06-06","cited_by_count":630,"area":"diffusion"},{"id":"2312.06662","title":"Photorealistic Video Generation with Diffusion Models","created":"2023-12-11","cited_by_count":306,"area":"diffusion"},{"id":"2306.01923","title":"The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation","created":"2023-06-02","cited_by_count":116,"area":"diffusion"},{"id":"2301.11706","title":"Input Perturbation Reduces Exposure Bias in Diffusion Models","created":"2023-01-27","cited_by_count":91,"area":"diffusion"},{"id":"2410.21357","title":"Energy-Based Diffusion Language Models for Text Generation","created":"2024-10-28","cited_by_count":91,"area":"diffusion"},{"id":"2302.14816","title":"Monocular Depth Estimation using Diffusion Models","created":"2023-02-28","cited_by_count":88,"area":"diffusion"},{"id":"2306.05043","title":"Non-autoregressive Conditional Diffusion Models for Time Series Prediction","created":"2023-06-08","cited_by_count":79,"area":"diffusion"},{"id":"2310.15111","title":"Matryoshka Diffusion Models","created":"2023-10-23","cited_by_count":72,"area":"diffusion"},{"id":"2306.02531","title":"PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model","created":"2023-06-05","cited_by_count":58,"area":"diffusion"},{"id":"2312.14134","title":"Diffusion Reward: Learning Rewards via Conditional Video Diffusion","created":"2023-12-21","cited_by_count":57,"area":"diffusion"},{"id":"2212.04248","title":"Talking Head Generation with Probabilistic Audio-to-Visual Diffusion Priors","created":"2022-12-07","cited_by_count":55,"area":"diffusion"},{"id":"2512.15702","title":"End-to-End Training for Autoregressive Video Diffusion via Self-Resampling","created":"2025-12-17","cited_by_count":53,"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":"2310.09629","title":"Adaptive Online Replanning with Diffusion Models","created":"2023-10-14","cited_by_count":34,"area":"diffusion"},{"id":"2602.07775","title":"Rolling Sink: Bridging Limited-Horizon Training and Open-Ended Testing in Autoregressive Video Diffusion","created":"2026-02-08","cited_by_count":32,"area":"diffusion"},{"id":"2506.21170","title":"Cosmos: Compressed and Smooth Latent Space for Text Diffusion Modeling","created":"2025-06-26","cited_by_count":26,"area":"diffusion"},{"id":"2505.14455","title":"CtrlDiff: Boosting Large Diffusion Language Models with Dynamic Block Prediction and Controllable Generation","created":"2025-05-20","cited_by_count":17,"area":"diffusion"},{"id":"2305.04465","title":"Can Diffusion Model Achieve Better Performance in Text Generation? Bridging the Gap between Training and Inference!","created":"2023-05-08","cited_by_count":11,"area":"diffusion"},{"id":"2509.00707","title":"Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs","created":"2025-08-31","cited_by_count":10,"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":"2604.12617","title":"SOAR: Self-Correction for Optimal Alignment and Refinement in Diffusion Models","created":"2026-04-14","cited_by_count":6,"area":"diffusion"},{"id":"2602.13616","title":"DiffusionRollout: Uncertainty-Aware Rollout Planning in Long-Horizon PDE Solving","created":"2026-02-14","cited_by_count":5,"area":"diffusion"},{"id":"2601.14959","title":"Towards Holistic Modeling for Video Frame Interpolation with Auto-regressive Diffusion Transformers","created":"2026-01-21","cited_by_count":4,"area":"diffusion"},{"id":"2606.28226","title":"Exposure Bias Can Alleviate Itself via Directional and Frequency Rectification in Flow Matching","created":"2026-06-26","cited_by_count":4,"area":"diffusion"},{"id":"2502.17099","title":"Improved Diffusion-based Generative Model with Better Adversarial Robustness","created":"2025-02-24","cited_by_count":3,"area":"diffusion"},{"id":"2510.04162","title":"Drax: Speech Recognition with Discrete Flow Matching","created":"2025-10-05","cited_by_count":3,"area":"diffusion"},{"id":"2602.04220","title":"Adaptive 1D Video Diffusion Autoencoder","created":"2026-02-04","cited_by_count":3,"area":"diffusion"},{"id":"2605.05736","title":"SDFlow: Similarity-Driven Flow Matching for Time Series Generation","created":"2026-05-07","cited_by_count":3,"area":"diffusion"},{"id":"2406.01813","title":"Diffusion Boosted Trees","created":"2024-06-03","cited_by_count":2,"area":"diffusion"},{"id":"2508.08687","title":"Expert-Guided Diffusion Planner for Auto-Bidding","created":"2025-08-12","cited_by_count":2,"area":"diffusion"},{"id":"2512.11438","title":"Flowception: Temporally Expansive Flow Matching for Video Generation","created":"2025-12-12","cited_by_count":2,"area":"diffusion"},{"id":"2606.01024","title":"DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs","created":"2026-05-31","cited_by_count":2,"area":"diffusion"},{"id":"2606.17175","title":"Self-Generated Error Training for Token Editing in Diffusion Language Models","created":"2026-06-15","cited_by_count":2,"area":"diffusion"},{"id":"2310.12765","title":"Energy-Based Models For Speech Synthesis","created":"2023-10-19","cited_by_count":1,"area":"diffusion"},{"id":"2411.05472","title":"Bridging the Gap between Learning and Inference for Diffusion-Based Molecule Generation","created":"2024-11-08","cited_by_count":1,"area":"diffusion"},{"id":"2503.01274","title":"DnD Filter: Differentiable State Estimation for Dynamic Systems using Diffusion Models","created":"2025-03-03","cited_by_count":1,"area":"diffusion"},{"id":"2606.14732","title":"Steady-Forcing: Balancing Spatial Persistence and Motion Continuity in Long-Horizon Nature Video Diffusion","created":"2026-06-02","cited_by_count":1,"area":"diffusion"},{"id":"2607.22091","title":"Spectral Prior for Reducing Exposure Bias in Diffusion Models","created":"2026-07-24","cited_by_count":1,"area":"diffusion"},{"id":"2608.01856","title":"EchoChange: A Diffusion Language Model with Dual Pass Remasking for Factual Remote Sensing Disaster Change Captioning","created":"2026-08-03","cited_by_count":1,"area":"diffusion"},{"id":"2509.19638","title":"TIMED: Adversarial and Autoregressive Refinement of Diffusion-Based Time Series Generation","created":"2025-09-23","cited_by_count":0,"area":"diffusion"},{"id":"2509.24353","title":"NeRV-Diffusion: Diffuse Implicit Neural Representations for Video Synthesis","created":"2025-09-29","cited_by_count":0,"area":"diffusion"},{"id":"2512.04904","title":"ReflexFlow: Rethinking Learning Objective for Exposure Bias Alleviation in Flow Matching","created":"2025-12-04","cited_by_count":0,"area":"diffusion"},{"id":"2512.15020","title":"ISS Policy : Scalable Diffusion Policy with Implicit Scene Supervision","created":"2025-12-17","cited_by_count":0,"area":"diffusion"},{"id":"2601.14758","title":"Mechanism Shift During Post-training from Autoregressive to Masked Diffusion Language Models","created":"2026-01-21","cited_by_count":0,"area":"diffusion"},{"id":"2607.08770","title":"LongE2V: Long-Horizon Event-based Video Reconstruction, Prediction, and Frame Interpolation with Video Diffusion Models","created":"2026-07-09","cited_by_count":0,"area":"diffusion"},{"id":"2607.10067","title":"Conservation Laws for Diffusion Models","created":"2026-07-11","cited_by_count":0,"area":"diffusion"},{"id":"2609.09009","title":"Let It Go or Learn to Self-Correct: Continuous Diffusion for Constrained Discrete Tasks","created":"2026-09-08","cited_by_count":0,"area":"diffusion"},{"id":"2609.35166","title":"Learning to Re-Draft: A Variational Stackelberg Game for Discrete Diffusion","created":"2026-09-28","cited_by_count":0,"area":"diffusion"},{"id":"2610.01320","title":"ProtoFlow: Prototype-Guided Flow Matching for Multivariate Time Series Forecasting","created":"2026-10-01","cited_by_count":0,"area":"diffusion"},{"id":"2610.02651","title":"Equivariant Flow Matching for Electron Density Prediction","created":"2026-10-02","cited_by_count":0,"area":"diffusion"},{"id":"2610.11479","title":"Conditional Residual Prediction: Improving Autoregressive Video Diffusion without a Bidirectional Teacher","created":"2026-10-08","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}