activity
20182026
most citedReal-time Deep Dynamic Characters

118 citations · 370 across the 64 of their papers we have counts for

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Showing cs.GRShow all

10 papers · 1 filter

cs.GR2026

D-Rex : Diffusion Rendering for Relightable Expressive Avatars

Timo Teufel, Xilong Zhou, Umar Iqbal +4

We present D-Rex, a person-specific framework for photorealistic, relightable, expressive, and animatable full-body human avatars with free-viewpoint rendering. Existing methods fo…

cs.GR2025

Step2Motion: Locomotion Reconstruction from Pressure Sensing Insoles

Jose Luis Ponton, Eduardo Alvarado, Lin Geng Foo +3

Human motion is fundamentally driven by continuous physical interaction with the environment. Whether walking, running, or simply standing, the forces exchanged between our feet an…

cs.GR2025

Topology-Aware Optimization of Gaussian Primitives for Human-Centric Volumetric Videos

Yuheng Jiang, Chengcheng Guo, Yize Wu +9

Volumetric video is emerging as a key medium for digitizing the dynamic physical world, creating the virtual environments with six degrees of freedom to deliver immersive user expe…

cs.GR2025

Hyper Diffusion Avatars: Dynamic Human Avatar Generation using Network Weight Space Diffusion

Dongliang Cao, Guoxing Sun, Marc Habermann +1

Creating human avatars is a highly desirable yet challenging task. Recent advancements in radiance field rendering have achieved unprecedented photorealism and real-time performanc…

cs.GR2025

Thin-Shell-SfT: Fine-Grained Monocular Non-rigid 3D Surface Tracking with Neural Deformation Fields

Navami Kairanda, Marc Habermann, Shanthika Naik +2

3D reconstruction of highly deformable surfaces (e.g. cloths) from monocular RGB videos is a challenging problem, and no solution provides a consistent and accurate recovery of fin…

cs.GR2023★ 3 cited

Discovering Fatigued Movements for Virtual Character Animation

Noshaba Cheema, Rui Xu, Nam Hee Kim +5

Virtual character animation and movement synthesis have advanced rapidly during recent years, especially through a combination of extensive motion capture datasets and machine lear…

cs.GR2023★ 2 cited

NeuralClothSim: Neural Deformation Fields Meet the Thin Shell Theory

Navami Kairanda, Marc Habermann, Christian Theobalt +1

Despite existing 3D cloth simulators producing realistic results, they predominantly operate on discrete surface representations (e.g. points and meshes) with a fixed spatial resol…

cs.GR2023

LiveHand: Real-time and Photorealistic Neural Hand Rendering

Akshay Mundra, Mallikarjun B R, Jiayi Wang +3

The human hand is the main medium through which we interact with our surroundings, making its digitization an important problem. While there are several works modeling the geometry…

cs.GR2022★ 10 cited

Physical Inertial Poser (PIP): Physics-aware Real-time Human Motion Tracking from Sparse Inertial Sensors

Xinyu Yi, Yuxiao Zhou, Marc Habermann +4

Motion capture from sparse inertial sensors has shown great potential compared to image-based approaches since occlusions do not lead to a reduced tracking quality and the recordin…

cs.GR2020★ 49 cited

Neural Human Video Rendering by Learning Dynamic Textures and Rendering-to-Video Translation

Lingjie Liu, Weipeng Xu, Marc Habermann +5

Synthesizing realistic videos of humans using neural networks has been a popular alternative to the conventional graphics-based rendering pipeline due to its high efficiency. Exist…