{"total":20,"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":"2210.06978","title":"LION: Latent Point Diffusion Models for 3D Shape Generation","created":"2022-10-12","cited_by_count":553,"area":"diffusion"},{"id":"2212.06135","title":"Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion","created":"2022-12-12","cited_by_count":309,"area":"diffusion"},{"id":"2211.16677","title":"3D Neural Field Generation using Triplane Diffusion","created":"2022-11-30","cited_by_count":274,"area":"diffusion"},{"id":"2304.02602","title":"Generative Novel View Synthesis with 3D-Aware Diffusion Models","created":"2023-04-05","cited_by_count":274,"area":"diffusion"},{"id":"2212.01206","title":"DiffRF: Rendering-Guided 3D Radiance Field Diffusion","created":"2022-12-02","cited_by_count":204,"area":"diffusion"},{"id":"2309.07920","title":"Large-Vocabulary 3D Diffusion Model with Transformer","created":"2023-09-14","cited_by_count":48,"area":"diffusion"},{"id":"2211.16374","title":"DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model","created":"2022-11-29","cited_by_count":32,"area":"diffusion"},{"id":"2312.16837","title":"DiffusionGAN3D: Boosting Text-guided 3D Generation and Domain Adaptation by Combining 3D GANs and Diffusion Priors","created":"2023-12-28","cited_by_count":19,"area":"diffusion"},{"id":"2312.06663","title":"CAD: Photorealistic 3D Generation via Adversarial Distillation","created":"2023-12-11","cited_by_count":18,"area":"diffusion"},{"id":"2304.01900","title":"PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion","created":"2023-04-04","cited_by_count":12,"area":"diffusion"},{"id":"2405.08055","title":"DiffTF++: 3D-aware Diffusion Transformer for Large-Vocabulary 3D Generation","created":"2024-05-13","cited_by_count":9,"area":"diffusion"},{"id":"2311.13570","title":"WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space","created":"2023-11-22","cited_by_count":8,"area":"diffusion"},{"id":"2307.04859","title":"Articulated 3D Head Avatar Generation using Text-to-Image Diffusion Models","created":"2023-07-10","cited_by_count":6,"area":"diffusion"},{"id":"2311.15561","title":"ET3D: Efficient Text-to-3D Generation via Multi-View Distillation","created":"2023-11-27","cited_by_count":6,"area":"diffusion"},{"id":"2312.10120","title":"MVHuman: Tailoring 2D Diffusion with Multi-view Sampling For Realistic 3D Human Generation","created":"2023-12-15","cited_by_count":6,"area":"diffusion"},{"id":"2405.00998","title":"Part-aware Shape Generation with Latent 3D Diffusion of Neural Voxel Fields","created":"2024-05-02","cited_by_count":5,"area":"diffusion"},{"id":"2402.05803","title":"AvatarMMC: 3D Head Avatar Generation and Editing with Multi-Modal Conditioning","created":"2024-02-08","cited_by_count":0,"area":"diffusion"},{"id":"2501.05226","title":"Light Transport-aware Diffusion Posterior Sampling for Single-View Reconstruction of 3D Volumes","created":"2025-01-09","cited_by_count":0,"area":"diffusion"},{"id":"2604.05961","title":"HumANDiff: Articulated Noise Diffusion for Motion-Consistent Human Video Generation","created":"2026-04-07","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}