{"total":45,"rows":[{"id":"2407.10862","title":"R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection","created":"2024-07-15","cited_by_count":45,"area":null},{"id":"2512.08765","title":"Wan-Move: Motion-controllable Video Generation via Latent Trajectory Guidance","created":"2025-12-09","cited_by_count":45,"area":null},{"id":"2502.12456","title":"Not-So-Optimal Transport Flows for 3D Point Cloud Generation","created":"2025-02-18","cited_by_count":17,"area":null},{"id":"2503.15855","title":"VideoRFSplat: Direct Scene-Level Text-to-3D Gaussian Splatting Generation with Flexible Pose and Multi-View Joint Modeling","created":"2025-03-20","cited_by_count":14,"area":null},{"id":"2312.07485","title":"MinD-3D: Reconstruct High-quality 3D objects in Human Brain","created":"2023-12-12","cited_by_count":11,"area":null},{"id":"2510.13454","title":"Text-to-3D by Stitching a Multi-view Reconstruction Network to a Video Generator","created":"2025-10-15","cited_by_count":11,"area":null},{"id":"2508.03691","title":"La La LiDAR: Large-Scale Layout Generation from LiDAR Data","created":"2025-08-05","cited_by_count":10,"area":null},{"id":"2407.17877","title":"Advancing 3D Point Cloud Understanding through Deep Transfer Learning: A Comprehensive Survey","created":"2024-07-25","cited_by_count":9,"area":null},{"id":"2510.05613","title":"PointNSP: Autoregressive 3D Point Cloud Generation with Next-Scale Level-of-Detail Prediction","created":"2025-10-07","cited_by_count":9,"area":null},{"id":"2412.04680","title":"Superpixel Tokenization for Vision Transformers: Preserving Semantic Integrity in Visual Tokens","created":"2024-12-06","cited_by_count":7,"area":null},{"id":"2503.12131","title":"DiffGAP: A Lightweight Diffusion Module in Contrastive Space for Bridging Cross-Model Gap","created":"2025-03-15","cited_by_count":7,"area":null},{"id":"2504.19174","title":"CLR-Wire: Towards Continuous Latent Representations for 3D Curve Wireframe Generation","created":"2025-04-27","cited_by_count":7,"area":null},{"id":"2410.11816","title":"Jigsaw++: Imagining Complete Shape Priors for Object Reassembly","created":"2024-10-15","cited_by_count":6,"area":null},{"id":"2506.23282","title":"Autoregressive Denoising Score Matching is a Good Video Anomaly Detector","created":"2025-06-29","cited_by_count":4,"area":null},{"id":"2510.13245","title":"CymbaDiff: Structured Spatial Diffusion for Sketch-based 3D Semantic Urban Scene Generation","created":"2025-10-15","cited_by_count":3,"area":null},{"id":"2512.07834","title":"Voxify3D: Pixel Art Meets Volumetric Rendering","created":"2025-12-08","cited_by_count":3,"area":null},{"id":"2603.00180","title":"NNiT: Width-Agnostic Neural Network Generation with Structurally Aligned Weight Spaces","created":"2026-02-26","cited_by_count":3,"area":null},{"id":"2503.21581","title":"AlignDiff: Learning Physically-Grounded Camera Alignment via Diffusion","created":"2025-03-27","cited_by_count":2,"area":null},{"id":"2506.23490","title":"UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound","created":"2025-06-30","cited_by_count":2,"area":null},{"id":"2507.23483","title":"Stable-Sim2Real: Exploring Simulation of Real-Captured 3D Data with Two-Stage Depth Diffusion","created":"2025-07-31","cited_by_count":2,"area":null},{"id":"2510.12387","title":"Scene Coordinate Reconstruction Priors","created":"2025-10-14","cited_by_count":2,"area":null},{"id":"2510.15556","title":"Diffusion Bridge Networks Simulate Clinical-grade PET from MRI for Dementia Diagnostics","created":"2025-10-17","cited_by_count":2,"area":null},{"id":"2511.05308","title":"Rethinking Metrics and Diffusion Architecture for 3D Point Cloud Generation","created":"2025-11-07","cited_by_count":2,"area":null},{"id":"2602.02571","title":"Trajectory Consistency for One-Step Generation on Euler Mean Flows","created":"2026-01-31","cited_by_count":2,"area":null},{"id":"2403.01430","title":"On Diffusion Process in SE(3)-invariant Space","created":"2024-03-03","cited_by_count":1,"area":null},{"id":"2405.11914","title":"PT43D: A Probabilistic Transformer for Generating 3D Shapes from Single Highly-Ambiguous RGB Images","created":"2024-05-20","cited_by_count":1,"area":null},{"id":"2406.00750","title":"Freeplane: Unlocking Free Lunch in Triplane-Based Sparse-View Reconstruction Models","created":"2024-06-02","cited_by_count":1,"area":null},{"id":"2502.20861","title":"MESC-3D:Mining Effective Semantic Cues for 3D Reconstruction from a Single Image","created":"2025-02-28","cited_by_count":1,"area":null},{"id":"2507.04685","title":"TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation","created":"2025-07-07","cited_by_count":1,"area":null},{"id":"2601.20425","title":"Quartet of Diffusions: Structure-Aware Point Cloud Generation through Part and Symmetry Guidance","created":"2026-01-28","cited_by_count":1,"area":null},{"id":"2603.08126","title":"Foley-Flow: Coordinated Video-to-Audio Generation with Masked Audio-Visual Alignment and Dynamic Conditional Flows","created":"2026-03-09","cited_by_count":1,"area":null},{"id":"2403.06661","title":"epsilon-Mesh Attack: A Surface-based Adversarial Point Cloud Attack for Facial Expression Recognition","created":"2024-03-11","cited_by_count":0,"area":null},{"id":"2405.06828","title":"G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping","created":"2024-05-10","cited_by_count":0,"area":null},{"id":"2411.15706","title":"Fixing the Perspective: A Critical Examination of Zero-1-to-3","created":"2024-11-24","cited_by_count":0,"area":null},{"id":"2503.08594","title":"PointNSP: Autoregressive 3D Point Cloud Generation with Next-Scale Level-of-Detail Prediction","created":"2025-03-11","cited_by_count":0,"area":null},{"id":"2507.05499","title":"LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving","created":"2025-07-07","cited_by_count":0,"area":null},{"id":"2509.17397","title":"Diff-GNSS: Diffusion-based Pseudorange Error Estimation","created":"2025-09-22","cited_by_count":0,"area":null},{"id":"2512.14235","title":"4D-RaDiff: Latent Point Diffusion for 4D Radar Point Cloud Generation","created":"2025-12-16","cited_by_count":0,"area":null},{"id":"2512.18953","title":"Symmetry Matters: Auditing and Symmetrizing 3D Generative Models","created":"2025-12-22","cited_by_count":0,"area":null},{"id":"2604.24586","title":"Point-MF: Stabilizing One-Step Mean Flows for Single-Image Point Cloud Reconstruction","created":"2026-04-27","cited_by_count":0,"area":null},{"id":"2605.03623","title":"A Few-Step Generative Model on Cumulative Flow Maps","created":"2026-05-05","cited_by_count":0,"area":null},{"id":"2608.23930","title":"SceneReGen: Generative Reconstruction of 3D Scenes from a Single Image","created":"2026-08-25","cited_by_count":0,"area":null},{"id":"2608.29793","title":"GridFlow: Structured Latent Flow for Seamless City-Scale 3D Point Cloud Generation","created":"2026-08-30","cited_by_count":0,"area":null},{"id":"2608.29905","title":"OrnaStyler: Ornament-Aware Latent Editing for Content-Preserving 3D Stylization","created":"2026-08-30","cited_by_count":0,"area":null},{"id":"2609.38506","title":"Autoregressive Frontier Expansion: Growing Trees with Graph Machine Learning","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}