Search Results for author: Heming Zhu

Found 6 papers, 2 papers with code

ASH: Animatable Gaussian Splats for Efficient and Photoreal Human Rendering

no code implementations10 Dec 2023 Haokai Pang, Heming Zhu, Adam Kortylewski, Christian Theobalt, Marc Habermann

Real-time rendering of photorealistic and controllable human avatars stands as a cornerstone in Computer Vision and Graphics.

TriHuman : A Real-time and Controllable Tri-plane Representation for Detailed Human Geometry and Appearance Synthesis

no code implementations8 Dec 2023 Heming Zhu, Fangneng Zhan, Christian Theobalt, Marc Habermann

Creating controllable, photorealistic, and geometrically detailed digital doubles of real humans solely from video data is a key challenge in Computer Graphics and Vision, especially when real-time performance is required.

SketchMetaFace: A Learning-based Sketching Interface for High-fidelity 3D Character Face Modeling

no code implementations3 Jul 2023 Zhongjin Luo, Dong Du, Heming Zhu, Yizhou Yu, Hongbo Fu, Xiaoguang Han

User studies demonstrate the superiority of our system over existing modeling tools in terms of the ease to use and visual quality of results.

Registering Explicit to Implicit: Towards High-Fidelity Garment mesh Reconstruction from Single Images

no code implementations CVPR 2022 Heming Zhu, Lingteng Qiu, Yuda Qiu, Xiaoguang Han

Fueled by the power of deep learning techniques and implicit shape learning, recent advances in single-image human digitalization have reached unprecedented accuracy and could recover fine-grained surface details such as garment wrinkles.

Garment Reconstruction

SimpModeling: Sketching Implicit Field to Guide Mesh Modeling for 3D Animalmorphic Head Design

1 code implementation5 Aug 2021 Zhongjin Luo, Jie zhou, Heming Zhu, Dong Du, Xiaoguang Han, Hongbo Fu

In this work, we propose SimpModeling, a novel sketch-based system for helping users, especially amateur users, easily model 3D animalmorphic heads - a prevalent kind of heads in character design.

Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images

2 code implementations ECCV 2020 Heming Zhu, Yu Cao, Hang Jin, Weikai Chen, Dong Du, Zhangye Wang, Shuguang Cui, Xiaoguang Han

High-fidelity clothing reconstruction is the key to achieving photorealism in a wide range of applications including human digitization, virtual try-on, etc.

Garment Reconstruction Virtual Try-on

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