{"total":40,"rows":[{"id":"2501.13918","title":"Improving Video Generation with Human Feedback","created":"2025-01-23","cited_by_count":284,"area":"diffusion"},{"id":"2412.14167","title":"VideoDPO: Omni-Preference Alignment for Video Diffusion Generation","created":"2024-12-18","cited_by_count":108,"area":"diffusion"},{"id":"2407.08737","title":"Video Diffusion Alignment via Reward Gradients","created":"2024-07-11","cited_by_count":107,"area":"diffusion"},{"id":"2406.01188","title":"UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image Animation","created":"2024-06-03","cited_by_count":102,"area":"diffusion"},{"id":"2405.18750","title":"T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback","created":"2024-05-29","cited_by_count":87,"area":"diffusion"},{"id":"2405.18991","title":"EasyAnimate: High-Performance Video Generation Framework with Hybrid Windows Attention and Reward Backpropagation","created":"2024-05-29","cited_by_count":77,"area":"diffusion"},{"id":"2410.05677","title":"T2V-Turbo-v2: Enhancing Video Generation Model Post-Training through Data, Reward, and Conditional Guidance Design","created":"2024-10-08","cited_by_count":54,"area":"diffusion"},{"id":"2312.15770","title":"A Recipe for Scaling up Text-to-Video Generation with Text-free Videos","created":"2023-12-25","cited_by_count":51,"area":"diffusion"},{"id":"2412.15159","title":"OnlineVPO: Align Video Diffusion Model with Online Video-Centric Preference Optimization","created":"2024-12-19","cited_by_count":41,"area":"diffusion"},{"id":"2406.06890","title":"Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation","created":"2024-06-11","cited_by_count":39,"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":"2506.03517","title":"DenseDPO: Fine-Grained Temporal Preference Optimization for Video Diffusion Models","created":"2025-06-04","cited_by_count":34,"area":"diffusion"},{"id":"2503.21765","title":"Exploring the Evolution of Physics Cognition in Video Generation: A Survey","created":"2025-03-27","cited_by_count":31,"area":"diffusion"},{"id":"2412.09626","title":"FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion","created":"2024-12-12","cited_by_count":30,"area":"diffusion"},{"id":"2410.07296","title":"ReinDiffuse: Crafting Physically Plausible Motions with Reinforced Diffusion Model","created":"2024-10-09","cited_by_count":26,"area":"diffusion"},{"id":"2507.08801","title":"Lumos-1: On Autoregressive Video Generation with Discrete Diffusion from a Unified Model Perspective","created":"2025-07-11","cited_by_count":22,"area":"diffusion"},{"id":"2503.10704","title":"Error Analyses of Auto-Regressive Video Diffusion Models: A Unified Framework","created":"2025-03-12","cited_by_count":20,"area":"diffusion"},{"id":"2503.18454","title":"InPO: Inversion Preference Optimization with Reparametrized DDIM for Efficient Diffusion Model Alignment","created":"2025-03-24","cited_by_count":19,"area":"diffusion"},{"id":"2502.02088","title":"Dual-IPO: Dual-Iterative Preference Optimization for Text-to-Video Generation","created":"2025-02-04","cited_by_count":13,"area":"diffusion"},{"id":"2506.02698","title":"Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences","created":"2025-06-03","cited_by_count":13,"area":"diffusion"},{"id":"2511.01678","title":"UniLumos: Fast and Unified Image and Video Relighting with Physics-Plausible Feedback","created":"2025-11-03","cited_by_count":12,"area":"diffusion"},{"id":"2601.04153","title":"Diffusion-DRF: Free, Rich, and Differentiable Reward for Video Diffusion Fine-Tuning","created":"2026-01-07","cited_by_count":10,"area":"diffusion"},{"id":"2502.03639","title":"Towards Physical Understanding in Video Generation: A 3D Point Regularization Approach","created":"2025-02-05","cited_by_count":8,"area":"diffusion"},{"id":"2506.23690","title":"SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation","created":"2025-06-30","cited_by_count":8,"area":"diffusion"},{"id":"2502.00639","title":"Half-order Fine-Tuning for Diffusion Model: A Recursive Likelihood Ratio Optimizer","created":"2025-02-02","cited_by_count":5,"area":"diffusion"},{"id":"2409.19911","title":"Replace Anyone in Videos","created":"2024-09-30","cited_by_count":4,"area":"diffusion"},{"id":"2502.06812","title":"Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models","created":"2025-02-04","cited_by_count":4,"area":"diffusion"},{"id":"2601.16214","title":"CamPilot: Improving Camera Control in Video Diffusion Model with Efficient Camera Reward Feedback","created":"2026-01-22","cited_by_count":4,"area":"diffusion"},{"id":"2409.15259","title":"StarVid: Enhancing Semantic Alignment in Video Diffusion Models via Spatial and SynTactic Guided Attention Refocusing","created":"2024-09-23","cited_by_count":3,"area":"diffusion"},{"id":"2603.17426","title":"SHIFT: Motion Alignment in Video Diffusion Models with Adversarial Hybrid Fine-Tuning","created":"2026-03-18","cited_by_count":3,"area":"diffusion"},{"id":"2605.07503","title":"Diffusion-APO: Trajectory-Aware Direct Preference Alignment for Video Diffusion Transformers","created":"2026-05-08","cited_by_count":3,"area":"diffusion"},{"id":"2606.01481","title":"SafeGen-Bench: Benchmarking Safety in Image-Conditioned Text-to-Video Generation","created":"2026-05-31","cited_by_count":3,"area":"diffusion"},{"id":"2504.11143","title":"Taming Consistency Distillation for Accelerated Human Image Animation","created":"2025-04-15","cited_by_count":2,"area":"diffusion"},{"id":"2510.17247","title":"From Preferences to Prejudice: The Role of Alignment Tuning in Shaping Social Bias in Video Diffusion Models","created":"2025-10-20","cited_by_count":2,"area":"diffusion"},{"id":"2506.02497","title":"LumosFlow: Motion-Guided Long Video Generation","created":"2025-06-03","cited_by_count":1,"area":"diffusion"},{"id":"2510.19193","title":"Video Consistency Distance: Enhancing Temporal Consistency for Image-to-Video Generation via Reward-Based Fine-Tuning","created":"2025-10-22","cited_by_count":1,"area":"diffusion"},{"id":"2603.14294","title":"Seeking Physics in Diffusion Noise","created":"2026-03-15","cited_by_count":1,"area":"diffusion"},{"id":"2608.30194","title":"NoisEasier: Test-Time Noise Optimization for Text-to-Video Generation","created":"2026-08-31","cited_by_count":1,"area":"diffusion"},{"id":"2511.07806","title":"PC-Diffusion: Aligning Diffusion Models with Human Preferences via Preference Classifier","created":"2025-11-11","cited_by_count":0,"area":"diffusion"},{"id":"2609.34371","title":"From Static to Dynamic: On-Policy Distillation from Image to Video Diffusion Models","created":"2026-09-28","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}