{"total":14,"rows":[{"id":"2403.06098","title":"VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models","created":"2024-03-10","cited_by_count":131,"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":"2410.16152","title":"Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models","created":"2024-10-21","cited_by_count":21,"area":"diffusion"},{"id":"2501.07647","title":"BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations","created":"2025-01-13","cited_by_count":15,"area":"diffusion"},{"id":"2509.24427","title":"UI2V-Bench: An Understanding-based Image-to-video Generation Benchmark","created":"2025-09-29","cited_by_count":11,"area":"diffusion"},{"id":"2410.04171","title":"IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis","created":"2024-10-05","cited_by_count":10,"area":"diffusion"},{"id":"2412.11183","title":"OccScene: Semantic Occupancy-based Cross-task Mutual Learning for 3D Scene Generation","created":"2024-12-15","cited_by_count":10,"area":"diffusion"},{"id":"2504.04051","title":"Can You Count to Nine? A Human Evaluation Benchmark for Counting Limits in Modern Text-to-Video Models","created":"2025-04-05","cited_by_count":10,"area":"diffusion"},{"id":"2506.14404","title":"Causally Steered Diffusion for Automated Video Counterfactual Generation","created":"2025-06-17","cited_by_count":6,"area":"diffusion"},{"id":"2510.07546","title":"PickStyle: Video-to-Video Style Transfer with Context-Style Adapters","created":"2025-10-08","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":"2501.02706","title":"Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment","created":"2025-01-06","cited_by_count":2,"area":"diffusion"},{"id":"2502.16915","title":"Multi-Dimensional Quality Assessment for Text-to-3D Assets: Dataset and Model","created":"2025-02-24","cited_by_count":2,"area":"diffusion"},{"id":"2603.21547","title":"PROBE: Diagnosing Residual Concept Capacity in Erased Text-to-Video Diffusion Models","created":"2026-03-23","cited_by_count":1,"area":"diffusion"}],"next_cursor":null}