{"total":18,"rows":[{"id":"2311.06214","title":"Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model","created":"2023-11-10","cited_by_count":378,"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":"2304.00916","title":"DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models","created":"2023-04-03","cited_by_count":154,"area":"diffusion"},{"id":"2310.07204","title":"State of the Art on Diffusion Models for Visual Computing","created":"2023-10-11","cited_by_count":127,"area":"diffusion"},{"id":"2308.08545","title":"TeCH: Text-guided Reconstruction of Lifelike Clothed Humans","created":"2023-08-16","cited_by_count":104,"area":"diffusion"},{"id":"2306.09864","title":"AvatarBooth: High-Quality and Customizable 3D Human Avatar Generation","created":"2023-06-16","cited_by_count":37,"area":"diffusion"},{"id":"2312.04559","title":"PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation","created":"2023-12-07","cited_by_count":34,"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":"2308.09712","title":"HumanLiff: Layer-wise 3D Human Generation with Diffusion Model","created":"2023-08-18","cited_by_count":23,"area":"diffusion"},{"id":"2401.04728","title":"Morphable Diffusion: 3D-Consistent Diffusion for Single-image Avatar Creation","created":"2024-01-09","cited_by_count":23,"area":"diffusion"},{"id":"2305.11870","title":"Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models","created":"2023-05-19","cited_by_count":20,"area":"diffusion"},{"id":"2404.01241","title":"StructLDM: Structured Latent Diffusion for 3D Human Generation","created":"2024-04-01","cited_by_count":17,"area":"diffusion"},{"id":"2505.15800","title":"Interspatial Attention for Efficient 4D Human Video Generation","created":"2025-05-21","cited_by_count":7,"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":"2505.22977","title":"HyperMotionX: The Dataset and Benchmark with DiT-Based Pose-Guided Human Image Animation of Complex Motions","created":"2025-05-29","cited_by_count":4,"area":"diffusion"},{"id":"2507.15979","title":"Dream, Lift, Animate: From Single Images to Animatable Gaussian Avatars","created":"2025-07-21","cited_by_count":4,"area":"diffusion"},{"id":"2408.15995","title":"TEDRA: Text-based Editing of Dynamic and Photoreal Actors","created":"2024-08-28","cited_by_count":1,"area":"diffusion"},{"id":"2509.04145","title":"Hyper Diffusion Avatars: Dynamic Human Avatar Generation using Network Weight Space Diffusion","created":"2025-09-04","cited_by_count":1,"area":"diffusion"}],"next_cursor":null}