63 citations · 198 across the 44 of their papers we have counts for
13 papers · 1 filter
VHOI: Controllable Video Generation of Human-Object Interactions from Sparse Trajectories via Motion Densification
Wanyue Zhang, Lin Geng Foo, Thabo Beeler +2
Synthesizing realistic human-object interactions (HOI) in video is challenging due to the complex, instance-specific interaction dynamics of both humans and objects. Incorporating…
Relightable Holoported Characters: Capturing and Relighting Dynamic Human Performance from Sparse Views
Kunwar Maheep Singh, Jianchun Chen, Vladislav Golyanik +5
We present Relightable Holoported Characters (RHC), a novel person-specific method for free-view rendering and relighting of full-body and highly dynamic humans solely observed fro…
3DPR: Single Image 3D Portrait Relight using Generative Priors
Pramod Rao, Abhimitra Meka, Xilong Zhou +11
Rendering novel, relit views of a human head, given a monocular portrait image as input, is an inherently underconstrained problem. The traditional graphics solution is to explicit…
ECHO: Ego-Centric modeling of Human-Object interactions
Ilya A. Petrov, Vladimir Guzov, Riccardo Marin +5
Modeling human-object interactions (HOI) from an egocentric perspective is a critical yet challenging task, particularly when relying on sparse signals from wearable devices like s…
Multimodal Quantitative Measures for Multiparty Behaviour Evaluation
Ojas Shirekar, Wim Pouw, Chenxu Hao +3
Digital humans are emerging as autonomous agents in multiparty interactions, yet existing evaluation metrics largely ignore contextual coordination dynamics. We introduce a unified…
Pixels2Points: Fusing 2D and 3D Features for Facial Skin Segmentation
Victoria Yue Chen, Daoye Wang, Stephan Garbin +4
Face registration deforms a template mesh to closely fit a 3D face scan, the quality of which commonly degrades in non-skin regions (e.g., hair, beard, accessories), because the op…
TeGA: Texture Space Gaussian Avatars for High-Resolution Dynamic Head Modeling
Gengyan Li, Paulo Gotardo, Timo Bolkart +5
Sparse volumetric reconstruction and rendering via 3D Gaussian splatting have recently enabled animatable 3D head avatars that are rendered under arbitrary viewpoints with impressi…
Ego4o: Egocentric Human Motion Capture and Understanding from Multi-Modal Input
Jian Wang, Rishabh Dabral, Diogo Luvizon +4
This work focuses on tracking and understanding human motion using consumer wearable devices, such as VR/AR headsets, smart glasses, cellphones, and smartwatches. These devices pro…
GIGA: Generalizable Sparse Image-driven Gaussian Humans
Anton Zubekhin, Heming Zhu, Paulo Gotardo +3
Driving a high-quality and photorealistic full-body virtual human from a few RGB cameras is a challenging problem that has become increasingly relevant with emerging virtual realit…
FRAME: Floor-aligned Representation for Avatar Motion from Egocentric Video
Andrea Boscolo Camiletto, Jian Wang, Eduardo Alvarado +4
Egocentric motion capture with a head-mounted body-facing stereo camera is crucial for VR and AR applications but presents significant challenges such as heavy occlusions and limit…
GroomLight: Hybrid Inverse Rendering for Relightable Human Hair Appearance Modeling
Yang Zheng, Menglei Chai, Delio Vicini +5
We present GroomLight, a novel method for relightable hair appearance modeling from multi-view images. Existing hair capture methods struggle to balance photorealistic rendering wi…
GarmentCrafter: Progressive Novel View Synthesis for Single-View 3D Garment Reconstruction and Editing
Yuanhao Wang, Cheng Zhang, Gonçalo Frazão +4
We introduce GarmentCrafter, a new approach that enables non-professional users to create and modify 3D garments from a single-view image. While recent advances in image generation…
Synthetic Prior for Few-Shot Drivable Head Avatar Inversion
Wojciech Zielonka, Stephan J. Garbin, Alexandros Lattas +5
We present SynShot, a novel method for the few-shot inversion of a drivable head avatar based on a synthetic prior. We tackle three major challenges. First, training a controllable…