{"total":20,"rows":[{"id":"2212.09748","title":"Scalable Diffusion Models with Transformers","created":"2022-12-19","cited_by_count":6054,"area":"wm"},{"id":"2104.10157","title":"VideoGPT: Video Generation using VQ-VAE and Transformers","created":"2021-04-20","cited_by_count":658,"area":"wm"},{"id":"2212.05199","title":"MAGVIT: Masked Generative Video Transformer","created":"2022-12-10","cited_by_count":346,"area":"wm"},{"id":"2405.03520","title":"Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond","created":"2024-05-06","cited_by_count":111,"area":"wm"},{"id":"2404.00815","title":"Towards Realistic Scene Generation with LiDAR Diffusion Models","created":"2024-03-31","cited_by_count":69,"area":"wm"},{"id":"2412.03934","title":"InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models","created":"2024-12-05","cited_by_count":56,"area":"wm"},{"id":"2311.11762","title":"MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric Representations","created":"2023-11-20","cited_by_count":33,"area":"wm"},{"id":"2402.02112","title":"S-NeRF++: Autonomous Driving Simulation via Neural Reconstruction and Generation","created":"2024-02-03","cited_by_count":28,"area":"wm"},{"id":"2210.11750","title":"Generative Range Imaging for Learning Scene Priors of 3D LiDAR Data","created":"2022-10-21","cited_by_count":18,"area":"wm"},{"id":"2503.19913","title":"PartRM: Modeling Part-Level Dynamics with Large Cross-State Reconstruction Model","created":"2025-03-25","cited_by_count":15,"area":"wm"},{"id":"2412.07385","title":"LOGen: Toward Lidar Object Generation by Point Diffusion","created":"2024-12-10","cited_by_count":9,"area":"wm"},{"id":"2604.06339","title":"Evolution of Video Generative Foundations","created":"2026-04-07","cited_by_count":7,"area":"wm"},{"id":"2503.21449","title":"Towards Generating Realistic 3D Semantic Training Data for Autonomous Driving","created":"2025-03-27","cited_by_count":5,"area":"wm"},{"id":"2506.23074","title":"Learning Counterfactually Decoupled Attention for Open-World Model Attribution","created":"2025-06-29","cited_by_count":5,"area":"wm"},{"id":"2604.28185","title":"Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling","created":"2026-04-30","cited_by_count":5,"area":"wm"},{"id":"2501.14174","title":"Dreamweaver: Learning Compositional World Models from Pixels","created":"2025-01-24","cited_by_count":4,"area":"wm"},{"id":"2305.14644","title":"KARNet: Kalman Filter Augmented Recurrent Neural Network for Learning World Models in Autonomous Driving Tasks","created":"2023-05-24","cited_by_count":2,"area":"wm"},{"id":"2506.23606","title":"SG-LDM: Semantic-Guided LiDAR Generation via Latent-Aligned Diffusion","created":"2025-06-30","cited_by_count":2,"area":"wm"},{"id":"2506.17967","title":"Adapting Vision-Language Models for Evaluating World Models","created":"2025-06-22","cited_by_count":1,"area":"wm"},{"id":"2506.19117","title":"PrITTI: Primitive-based Generation of Controllable and Editable 3D Semantic Urban Scenes","created":"2025-06-23","cited_by_count":1,"area":"wm"}],"next_cursor":null}