1 citations · 4 across the 13 of their papers we have counts for
14 papers
ETCH-X: Robustify Expressive Body Fitting to Clothed Humans with Composable Datasets
Xiaoben Li, Jingyi Wu, Zeyu Cai +3
Human body fitting, which aligns parametric body models such as SMPL to raw 3D point clouds of clothed humans, serves as a crucial first step for downstream tasks like animation an…
OmniFit: Multi-modal 3D Body Fitting via Scale-agnostic Dense Landmark Prediction
Zeyu Cai, Yuliang Xiu, Renke Wang +8
Fitting an underlying body model to 3D clothed human assets has been extensively studied, yet most approaches focus on either single-modal inputs such as point clouds or multi-view…
GaussiAnimate: Rig Animatable Categories with Level of Dynamics
Jiaxin Wang, Dongxin Lyu, Zeyu Cai +4
We propose Skelebones, a Scaffold-Skin Rigging System built on three steps: (1) Bones compress temporally consistent Gaussian or mesh sequences into free-form bones with smooth ski…
Muses: Designing, Composing, Generating Nonexistent Fantasy 3D Creatures without Training
Hexiao Lu, Xiaokun Sun, Zeyu Cai +4
We present Muses, the first training-free method for fantastic 3D creature generation in a feed-forward paradigm. Previous methods, which rely on part-aware optimization, manual as…
MorphAny3D: Unleashing the Power of Structured Latent in 3D Morphing
Xiaokun Sun, Zeyu Cai, Hao Tang +3
3D morphing remains challenging due to the difficulty of generating semantically consistent and temporally smooth deformations, especially across categories. We present MorphAny3D,…
UP2You: Fast Reconstruction of Yourself from Unconstrained Photo Collections
Zeyu Cai, Ziyang Li, Xiaoben Li +4
We present UP2You, the first tuning-free solution for reconstructing high-fidelity 3D clothed portraits from extremely unconstrained in-the-wild 2D photos. Unlike previous approach…
MagicAnime: A Hierarchically Annotated, Multimodal and Multitasking Dataset with Benchmarks for Cartoon Animation Generation
Shuolin Xu, Bingyuan Wang, Zeyu Cai +5
Generating high-quality cartoon animations multimodal control is challenging due to the complexity of non-human characters, stylistically diverse motions and fine-grained emotions.…
AssetDropper: Asset Extraction via Diffusion Models with Reward-Driven Optimization
Lanjiong Li, Guanhua Zhao, Lingting Zhu +4
Recent research on generative models has primarily focused on creating product-ready visual outputs; however, designers often favor access to standardized asset libraries, a domain…
ETCH: Generalizing Body Fitting to Clothed Humans via Equivariant Tightness
Boqian Li, Haiwen Feng, Zeyu Cai +2
Fitting a body to a 3D clothed human point cloud is a common yet challenging task. Traditional optimization-based approaches use multi-stage pipelines that are sensitive to pose in…
StrandHead: Text to Hair-Disentangled 3D Head Avatars Using Human-Centric Priors
Xiaokun Sun, Zeyu Cai, Ying Tai +2
While haircut indicates distinct personality, existing avatar generation methods fail to model practical hair due to the data limitation or entangled representation. We propose Str…
DreamMapping: High-Fidelity Text-to-3D Generation via Variational Distribution Mapping
Zeyu Cai, Duotun Wang, Yixun Liang +4
Score Distillation Sampling (SDS) has emerged as a prevalent technique for text-to-3D generation, enabling 3D content creation by distilling view-dependent information from text-to…
DEGAS: Detailed Expressions on Full-Body Gaussian Avatars
Zhijing Shao, Duotun Wang, Qing-Yao Tian +7
Although neural rendering has made significant advances in creating lifelike, animatable full-body and head avatars, incorporating detailed expressions into full-body avatars remai…
HeadEvolver: Text to Head Avatars via Expressive and Attribute-Preserving Mesh Deformation
Duotun Wang, Hengyu Meng, Zeyu Cai +6
Current text-to-avatar methods often rely on implicit representations (e.g., NeRF, SDF, and DMTet), leading to 3D content that artists cannot easily edit and animate in graphics so…
MagicScroll: Nontypical Aspect-Ratio Image Generation for Visual Storytelling via Multi-Layered Semantic-Aware Denoising
Bingyuan Wang, Hengyu Meng, Zeyu Cai +4
Visual storytelling often uses nontypical aspect-ratio images like scroll paintings, comic strips, and panoramas to create an expressive and compelling narrative. While generative…