{"total":13,"rows":[{"id":"2302.03011","title":"Structure and Content-Guided Video Synthesis with Diffusion Models","created":"2023-02-06","cited_by_count":590,"area":"wm"},{"id":"2405.14475","title":"MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes","created":"2024-05-23","cited_by_count":71,"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":"2403.10094","title":"RangeLDM: Fast Realistic LiDAR Point Cloud Generation","created":"2024-03-15","cited_by_count":47,"area":"wm"},{"id":"2403.13470","title":"Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion","created":"2024-03-20","cited_by_count":40,"area":"wm"},{"id":"2503.14558","title":"SuperPC: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorization","created":"2025-03-18","cited_by_count":21,"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":"2503.21449","title":"Towards Generating Realistic 3D Semantic Training Data for Autonomous Driving","created":"2025-03-27","cited_by_count":5,"area":"wm"},{"id":"2510.14977","title":"Terra: Explorable Native 3D World Model with Point Latents","created":"2025-10-16","cited_by_count":4,"area":"wm"},{"id":"2602.19064","title":"L3DR: 3D-aware LiDAR Diffusion and Rectification","created":"2026-02-22","cited_by_count":3,"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":"2605.15843","title":"WorldAct: Activating Monolithic 3D Worlds into Interactive-Ready Object-Centric Scenes","created":"2026-05-15","cited_by_count":2,"area":"wm"},{"id":"2512.20105","title":"LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs","created":"2025-12-23","cited_by_count":1,"area":"wm"}],"next_cursor":null}