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Found 7 papers, 4 papers with code
TEDRA: Text-based Editing of Dynamic and Photoreal Actors
Over the past years, significant progress has been made in creating photorealistic and drivable 3D avatars solely from videos of real humans.
ASH: Animatable Gaussian Splats for Efficient and Photoreal Human Rendering
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
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
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
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.
SimpModeling: Sketching Implicit Field to Guide Mesh Modeling for 3D Animalmorphic Head Design
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
High-fidelity clothing reconstruction is the key to achieving photorealism in a wide range of applications including human digitization, virtual try-on, etc.
