{"total":16,"rows":[{"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":"2211.16677","title":"3D Neural Field Generation using Triplane Diffusion","created":"2022-11-30","cited_by_count":274,"area":"diffusion"},{"id":"2211.09869","title":"RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation","created":"2022-11-17","cited_by_count":162,"area":"diffusion"},{"id":"2306.11719","title":"Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision","created":"2023-06-20","cited_by_count":112,"area":"diffusion"},{"id":"2405.15364","title":"NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer","created":"2024-05-24","cited_by_count":79,"area":"diffusion"},{"id":"2311.17901","title":"SODA: Bottleneck Diffusion Models for Representation Learning","created":"2023-11-29","cited_by_count":77,"area":"diffusion"},{"id":"2304.06700","title":"Control3Diff: Learning Controllable 3D Diffusion Models from Single-view Images","created":"2023-04-13","cited_by_count":27,"area":"diffusion"},{"id":"2505.05474","title":"3D Scene Generation: A Survey","created":"2025-05-08","cited_by_count":24,"area":"diffusion"},{"id":"2402.03445","title":"Denoising Diffusion via Image-Based Rendering","created":"2024-02-05","cited_by_count":15,"area":"diffusion"},{"id":"2411.08033","title":"GaussianAnything: Interactive Point Cloud Flow Matching For 3D Object Generation","created":"2024-11-12","cited_by_count":12,"area":"diffusion"},{"id":"2406.13099","title":"Sampling 3D Gaussian Scenes in Seconds with Latent Diffusion Models","created":"2024-06-18","cited_by_count":10,"area":"diffusion"},{"id":"2304.14473","title":"Learning a Diffusion Prior for NeRFs","created":"2023-04-27","cited_by_count":9,"area":"diffusion"},{"id":"2310.04750","title":"DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures","created":"2023-10-07","cited_by_count":6,"area":"diffusion"},{"id":"2312.13307","title":"Adaptive Training Meets Progressive Scaling: Elevating Efficiency in Diffusion Models","created":"2023-12-20","cited_by_count":3,"area":"diffusion"},{"id":"2605.10830","title":"Predicting 3D structure by latent posterior sampling","created":"2026-05-11","cited_by_count":1,"area":"diffusion"},{"id":"2509.17232","title":"DT-NeRF: A Diffusion and Transformer-Based Optimization Approach for Neural Radiance Fields in 3D Reconstruction","created":"2025-09-21","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}