118 citations · 370 across the 64 of their papers we have counts for
15 papers · 1 filter
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…
Relightable Neural Actor with Intrinsic Decomposition and Pose Control
Diogo Luvizon, Vladislav Golyanik, Adam Kortylewski +2
Creating a controllable and relightable digital avatar from multi-view video with fixed illumination is a very challenging problem since humans are highly articulated, creating pos…
Holoported Characters: Real-time Free-viewpoint Rendering of Humans from Sparse RGB Cameras
Ashwath Shetty, Marc Habermann, Guoxing Sun +3
We present the first approach to render highly realistic free-viewpoint videos of a human actor in general apparel, from sparse multi-view recording to display, in real-time at an…
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…
Wonder3D: Single Image to 3D using Cross-Domain Diffusion
Xiaoxiao Long, Yuan-Chen Guo, Cheng Lin +8
In this work, we introduce Wonder3D, a novel method for efficiently generating high-fidelity textured meshes from single-view images.Recent methods based on Score Distillation Samp…
Surf-D: Generating High-Quality Surfaces of Arbitrary Topologies Using Diffusion Models
Zhengming Yu, Zhiyang Dou, Xiaoxiao Long +9
We present Surf-D, a novel method for generating high-quality 3D shapes as Surfaces with arbitrary topologies using Diffusion models. Previous methods explored shape generation wit…
DELIFFAS: Deformable Light Fields for Fast Avatar Synthesis
Youngjoong Kwon, Lingjie Liu, Henry Fuchs +2
Generating controllable and photorealistic digital human avatars is a long-standing and important problem in Vision and Graphics. Recent methods have shown great progress in terms…
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…
Diffusion Posterior Illumination for Ambiguity-aware Inverse Rendering
Linjie Lyu, Ayush Tewari, Marc Habermann +4
Inverse rendering, the process of inferring scene properties from images, is a challenging inverse problem. The task is ill-posed, as many different scene configurations can give r…
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…
ROAM: Robust and Object-Aware Motion Generation Using Neural Pose Descriptors
Wanyue Zhang, Rishabh Dabral, Thomas Leimkühler +3
Existing automatic approaches for 3D virtual character motion synthesis supporting scene interactions do not generalise well to new objects outside training distributions, even whe…
VINECS: Video-based Neural Character Skinning
Zhouyingcheng Liao, Vladislav Golyanik, Marc Habermann +1
Rigging and skinning clothed human avatars is a challenging task and traditionally requires a lot of manual work and expertise. Recent methods addressing it either generalize acros…
EgoLocate: Real-time Motion Capture, Localization, and Mapping with Sparse Body-mounted Sensors
Xinyu Yi, Yuxiao Zhou, Marc Habermann +4
Human and environment sensing are two important topics in Computer Vision and Graphics. Human motion is often captured by inertial sensors, while the environment is mostly reconstr…
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…
Scene-Aware 3D Multi-Human Motion Capture from a Single Camera
Diogo Luvizon, Marc Habermann, Vladislav Golyanik +2
In this work, we consider the problem of estimating the 3D position of multiple humans in a scene as well as their body shape and articulation from a single RGB video recorded with…