14 citations · 22 across the 12 of their papers we have counts for
12 papers · 1 filter
AvatarDynamizer: From Static to Dynamic Human Avatars via Generative Dynamic Textures
Guoxing Sun, Heming Zhu, Linjie Lyu +3
For full-body avatars, modeling surface dynamics is crucial for overcoming the uncanny valley and achieving perceptual realism. Person-agnostic methods recover static 3D avatars fr…
MUA: Mobile Ultra-detailed Animatable Avatars
Heming Zhu, Guoxing Sun, Marc Habermann
Building photorealistic, animatable full-body digital humans remains a longstanding challenge in computer graphics and vision. Recent advances in animatable avatar modeling have la…
UMA: Ultra-detailed Human Avatars via Multi-level Surface Alignment
Heming Zhu, Guoxing Sun, Christian Theobalt +1
Learning an animatable and clothed human avatar model with vivid dynamics and photorealistic appearance from multi-view videos is an important foundational research problem in comp…
EVA: Expressive Virtual Avatars from Multi-view Videos
Hendrik Junkawitsch, Guoxing Sun, Heming Zhu +2
With recent advancements in neural rendering and motion capture algorithms, remarkable progress has been made in photorealistic human avatar modeling, unlocking immense potential f…
Real-time Free-view Human Rendering from Sparse-view RGB Videos using Double Unprojected Textures
Guoxing Sun, Rishabh Dabral, Heming Zhu +3
Real-time free-view human rendering from sparse-view RGB inputs is a challenging task due to the sensor scarcity and the tight time budget. To ensure efficiency, recent methods lev…
TEDRA: Text-based Editing of Dynamic and Photoreal Actors
Basavaraj Sunagad, Heming Zhu, Mohit Mendiratta +3
Over the past years, significant progress has been made in creating photorealistic and drivable 3D avatars solely from videos of real humans. However, a core remaining challenge is…
TriHuman : A Real-time and Controllable Tri-plane Representation for Detailed Human Geometry and Appearance Synthesis
Heming Zhu, Fangneng Zhan, Christian Theobalt +1
Creating controllable, photorealistic, and geometrically detailed digital doubles of real humans solely from video data is a key challenge in Computer Graphics and Vision, especial…
ASH: Animatable Gaussian Splats for Efficient and Photoreal Human Rendering
Haokai Pang, Heming Zhu, Adam Kortylewski +2
Real-time rendering of photorealistic and controllable human avatars stands as a cornerstone in Computer Vision and Graphics. While recent advances in neural implicit rendering hav…
SketchMetaFace: A Learning-based Sketching Interface for High-fidelity 3D Character Face Modeling
Zhongjin Luo, Dong Du, Heming Zhu +3
Modeling 3D avatars benefits various application scenarios such as AR/VR, gaming, and filming. Character faces contribute significant diversity and vividity as a vital component of…
Registering Explicit to Implicit: Towards High-Fidelity Garment mesh Reconstruction from Single Images
Heming Zhu, Lingteng Qiu, Yuda Qiu +1
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 reco…
SimpModeling: Sketching Implicit Field to Guide Mesh Modeling for 3D Animalmorphic Head Design
Zhongjin Luo, Jie Zhou, Heming Zhu +3
Head shapes play an important role in 3D character design. In this work, we propose SimpModeling, a novel sketch-based system for helping users, especially amateur users, easily mo…
Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images
Heming Zhu, Yu Cao, Hang Jin +5
High-fidelity clothing reconstruction is the key to achieving photorealism in a wide range of applications including human digitization, virtual try-on, etc. Recent advances in lea…