22 citations · 52 across the 26 of their papers we have counts for
27 papers
LACE-CRAFT: Robot Co-Design with Actor Inheritance and Blackboard Collaboration
Yuhan Wen, Jiawei Wang, Qixuan Zhang +3
Robot co-design couples morphology search with policy learning, yet training every new design from scratch discards acquired control experience. We present LACE-CRAFT, which compar…
Autoregressive B-Rep Shape Generation with Parametric Surfaces
Dafei Qin, Rui Xu, Zeyu Shen +8
Generative CAD modeling has broad design and application potential. Despite significant advances in Boundary Representation (B-Rep) generation, the dominant representation in CAD,…
Learning a Delighting Prior for Facial Appearance Capture in the Wild
Yuxuan Han, Xin Ming, Tianxiao Li +4
High-quality facial appearance capture has traditionally required costly studio recording. Recent works consider an in-the-wild smartphone-based setup; however, their model-based i…
Strips as Tokens: Artist Mesh Generation with Native UV Segmentation
Rui Xu, Dafei Qin, Kaichun Qiao +8
Recent advancements in autoregressive transformers have demonstrated remarkable potential for generating artist-quality meshes. However, the token ordering strategies employed by e…
TAPESTRY: From Geometry to Appearance via Consistent Turntable Videos
Yan Zeng, Haoran Jiang, Kaixin Yao +4
Automatically generating photorealistic and self-consistent appearances for untextured 3D models is a critical challenge in digital content creation. The advancement of large-scale…
ManiTwin: Scaling Data-Generation-Ready Digital Object Dataset to 100K
Kaixuan Wang, Tianxing Chen, Jiawei Liu +13
Learning in simulation provides a useful foundation for scaling robotic manipulation capabilities. However, this paradigm often suffers from a lack of data-generation-ready digital…
WildCap: Facial Albedo Capture in the Wild via Hybrid Inverse Rendering
Yuxuan Han, Xin Ming, Tianxiao Li +4
Existing methods achieve high-quality facial albedo capture under controllable lighting, which increases capture cost and limits usability. We propose WildCap, a novel method for h…
Kinematify: Open-Vocabulary Synthesis of High-DoF Articulated Objects
Jiawei Wang, Dingyou Wang, Jiaming Hu +3
A deep understanding of kinematic structures and movable components is essential for enabling robots to manipulate objects and model their own articulated forms. Such understanding…
BANG: Dividing 3D Assets via Generative Exploded Dynamics
Longwen Zhang, Qixuan Zhang, Haoran Jiang +4
3D creation has always been a unique human strength, driven by our ability to deconstruct and reassemble objects using our eyes, mind and hand. However, current 3D design tools str…
Facial Appearance Capture at Home with Patch-Level Reflectance Prior
Yuxuan Han, Junfeng Lyu, Kuan Sheng +4
Existing facial appearance capture methods can reconstruct plausible facial reflectance from smartphone-recorded videos. However, the reconstruction quality is still far behind the…
Mojito: LLM-Aided Motion Instructor with Jitter-Reduced Inertial Tokens
Ziwei Shan, Yaoyu He, Chengfeng Zhao +5
Human bodily movements convey critical insights into action intentions and cognitive processes, yet existing multimodal systems primarily focused on understanding human motion via…
TANGLED: Generating 3D Hair Strands from Images with Arbitrary Styles and Viewpoints
Pengyu Long, Zijun Zhao, Min Ouyang +5
Hairstyles are intricate and culturally significant with various geometries, textures, and structures. Existing text or image-guided generation methods fail to handle the richness…
CAST: Component-Aligned 3D Scene Reconstruction from an RGB Image
Kaixin Yao, Longwen Zhang, Xinhao Yan +6
Recovering high-quality 3D scenes from a single RGB image is a challenging task in computer graphics. Current methods often struggle with domain-specific limitations or low-quality…
Instant Facial Gaussians Translator for Relightable and Interactable Facial Rendering
Dafei Qin, Hongyang Lin, Qixuan Zhang +7
We propose GauFace, a novel Gaussian Splatting representation, tailored for efficient animation and rendering of physically-based facial assets. Leveraging strong geometric priors…
CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets
Longwen Zhang, Ziyu Wang, Qixuan Zhang +6
In the realm of digital creativity, our potential to craft intricate 3D worlds from imagination is often hampered by the limitations of existing digital tools, which demand extensi…
Implicit Swept Volume SDF: Enabling Continuous Collision-Free Trajectory Generation for Arbitrary Shapes
Jingping Wang, Tingrui Zhang, Qixuan Zhang +5
In the field of trajectory generation for objects, ensuring continuous collision-free motion remains a huge challenge, especially for non-convex geometries and complex environments…
GaussianHair: Hair Modeling and Rendering with Light-aware Gaussians
Haimin Luo, Min Ouyang, Zijun Zhao +6
Hairstyle reflects culture and ethnicity at first glance. In the digital era, various realistic human hairstyles are also critical to high-fidelity digital human assets for beauty…
Media2Face: Co-speech Facial Animation Generation With Multi-Modality Guidance
Qingcheng Zhao, Pengyu Long, Qixuan Zhang +6
The synthesis of 3D facial animations from speech has garnered considerable attention. Due to the scarcity of high-quality 4D facial data and well-annotated abundant multi-modality…
DressCode: Autoregressively Sewing and Generating Garments from Text Guidance
Kai He, Kaixin Yao, Qixuan Zhang +3
Apparel's significant role in human appearance underscores the importance of garment digitalization for digital human creation. Recent advances in 3D content creation are pivotal f…
HACK: Learning a Parametric Head and Neck Model for High-fidelity Animation
Longwen Zhang, Zijun Zhao, Xinzhou Cong +7
Significant advancements have been made in developing parametric models for digital humans, with various approaches concentrating on parts such as the human body, hand, or face. Ne…
DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance
Longwen Zhang, Qiwei Qiu, Hongyang Lin +7
Emerging Metaverse applications demand accessible, accurate, and easy-to-use tools for 3D digital human creations in order to depict different cultures and societies as if in the p…
Relightable Neural Human Assets from Multi-view Gradient Illuminations
Taotao Zhou, Kai He, Di Wu +6
Human modeling and relighting are two fundamental problems in computer vision and graphics, where high-quality datasets can largely facilitate related research. However, most exist…
SCULPTOR: Skeleton-Consistent Face Creation Using a Learned Parametric Generator
Zesong Qiu, Yuwei Li, Dongming He +8
Recent years have seen growing interest in 3D human faces modelling due to its wide applications in digital human, character generation and animation. Existing approaches overwhelm…
Video-driven Neural Physically-based Facial Asset for Production
Longwen Zhang, Chuxiao Zeng, Qixuan Zhang +5
Production-level workflows for producing convincing 3D dynamic human faces have long relied on an assortment of labor-intensive tools for geometry and texture generation, motion ca…