{"total":36,"rows":[{"id":"2103.01458","title":"Diffusion Probabilistic Models for 3D Point Cloud Generation","created":"2021-03-02","cited_by_count":735,"area":"diffusion"},{"id":"2212.08751","title":"Point-E: A System for Generating 3D Point Clouds from Complex Prompts","created":"2022-12-16","cited_by_count":699,"area":"diffusion"},{"id":"2306.16928","title":"One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization","created":"2023-06-29","cited_by_count":560,"area":"diffusion"},{"id":"2210.06978","title":"LION: Latent Point Diffusion Models for 3D Shape Generation","created":"2022-10-12","cited_by_count":553,"area":"diffusion"},{"id":"2311.07885","title":"One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion","created":"2023-11-14","cited_by_count":283,"area":"diffusion"},{"id":"2211.13757","title":"Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions","created":"2022-11-24","cited_by_count":133,"area":"diffusion"},{"id":"2307.01831","title":"DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation","created":"2023-07-04","cited_by_count":110,"area":"diffusion"},{"id":"2303.16509","title":"HoloDiffusion: Training a 3D Diffusion Model using 2D Images","created":"2023-03-29","cited_by_count":106,"area":"diffusion"},{"id":"2312.11417","title":"PolyDiff: Generating 3D Polygonal Meshes with Diffusion Models","created":"2023-12-18","cited_by_count":66,"area":"diffusion"},{"id":"2212.05993","title":"RGBD2: Generative Scene Synthesis via Incremental View Inpainting using RGBD Diffusion Models","created":"2022-12-12","cited_by_count":45,"area":"diffusion"},{"id":"2308.02874","title":"Sketch and Text Guided Diffusion Model for Colored Point Cloud Generation","created":"2023-08-05","cited_by_count":36,"area":"diffusion"},{"id":"2401.06614","title":"Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking","created":"2024-01-12","cited_by_count":29,"area":"diffusion"},{"id":"2312.15980","title":"HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D","created":"2023-12-26","cited_by_count":28,"area":"diffusion"},{"id":"2303.05916","title":"GECCO: Geometrically-Conditioned Point Diffusion Models","created":"2023-03-10","cited_by_count":24,"area":"diffusion"},{"id":"2407.05059","title":"Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model","created":"2024-07-06","cited_by_count":16,"area":"diffusion"},{"id":"2404.03566","title":"PointInfinity: Resolution-Invariant Point Diffusion Models","created":"2024-04-04","cited_by_count":15,"area":"diffusion"},{"id":"2408.13055","title":"Atlas Gaussians Diffusion for 3D Generation","created":"2024-08-23","cited_by_count":15,"area":"diffusion"},{"id":"2402.18842","title":"ViewFusion: Towards Multi-View Consistency via Interpolated Denoising","created":"2024-02-29","cited_by_count":14,"area":"diffusion"},{"id":"2401.17603","title":"Topology-Aware Latent Diffusion for 3D Shape Generation","created":"2024-01-31","cited_by_count":13,"area":"diffusion"},{"id":"2308.07837","title":"CCD-3DR: Consistent Conditioning in Diffusion for Single-Image 3D Reconstruction","created":"2023-08-15","cited_by_count":10,"area":"diffusion"},{"id":"2311.12090","title":"FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation","created":"2023-11-20","cited_by_count":9,"area":"diffusion"},{"id":"2408.06145","title":"Efficient and Scalable Point Cloud Generation with Sparse Point-Voxel Diffusion Models","created":"2024-08-12","cited_by_count":7,"area":"diffusion"},{"id":"2606.23489","title":"MeshFlow: Mesh Generation with Equivariant Flow Matching","created":"2026-06-22","cited_by_count":4,"area":"diffusion"},{"id":"2508.11106","title":"HierOctFusion: Multi-scale Octree-based 3D Shape Generation via Part-Whole-Hierarchy Message Passing","created":"2025-08-14","cited_by_count":3,"area":"diffusion"},{"id":"2503.08005","title":"CDI3D: Cross-guided Dense-view Interpolation for 3D Reconstruction","created":"2025-03-11","cited_by_count":2,"area":"diffusion"},{"id":"2511.06310","title":"Adaptive 3D Reconstruction via Diffusion Priors and Forward Curvature-Matching Likelihood Updates","created":"2025-11-09","cited_by_count":1,"area":"diffusion"},{"id":"2511.11074","title":"Evaluating Latent Generative Paradigms for High-Fidelity 3D Shape Completion from a Single Depth Image","created":"2025-11-14","cited_by_count":1,"area":"diffusion"},{"id":"2407.21428","title":"Deformable 3D Shape Diffusion Model","created":"2024-07-31","cited_by_count":0,"area":"diffusion"},{"id":"2409.10180","title":"RealDiff: Real-world 3D Shape Completion using Self-Supervised Diffusion Models","created":"2024-09-16","cited_by_count":0,"area":"diffusion"},{"id":"2410.22059","title":"PACA: Perspective-Aware Cross-Attention Representation for Zero-Shot Scene Rearrangement","created":"2024-10-29","cited_by_count":0,"area":"diffusion"},{"id":"2509.23709","title":"StrucADT: Generating Structure-controlled 3D Point Clouds with Adjacency Diffusion Transformer","created":"2025-09-28","cited_by_count":0,"area":"diffusion"},{"id":"2605.20303","title":"AirfoilGen: A valid-by-construction and performance-aware latent diffusion model for airfoil generation","created":"2026-05-19","cited_by_count":0,"area":"diffusion"},{"id":"2606.22445","title":"DreamUV: Unwrap Artist-like UV by End-to-End Flow Matching","created":"2026-06-21","cited_by_count":0,"area":"diffusion"},{"id":"2607.12379","title":"SeamGen: Artist-Aligned UV Seam Generation via Graph Flow Matching","created":"2026-07-14","cited_by_count":0,"area":"diffusion"},{"id":"2608.05557","title":"Hierarchical Flow Matching for 3D Point Cloud Generation","created":"2026-08-06","cited_by_count":0,"area":"diffusion"},{"id":"2609.04751","title":"SeamFlow: Structure-Aware Flow Matching on Edge Probabilities for Artist-Like UV Unwrapping","created":"2026-09-04","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}