118 citations · 370 across the 64 of their papers we have counts for
11 papers · 1 filter
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…
BimArt: A Unified Approach for the Synthesis of 3D Bimanual Interaction with Articulated Objects
Wanyue Zhang, Rishabh Dabral, Vladislav Golyanik +5
We present BimArt, a novel generative approach for synthesizing 3D bimanual hand interactions with articulated objects. Unlike prior works, we do not rely on a reference grasp, a c…
PocoLoco: A Point Cloud Diffusion Model of Human Shape in Loose Clothing
Siddharth Seth, Rishabh Dabral, Diogo Luvizon +4
Modeling a human avatar that can plausibly deform to articulations is an active area of research. We present PocoLoco -- the first template-free, point-based, pose-conditioned gene…
EasyHOI: Unleashing the Power of Large Models for Reconstructing Hand-Object Interactions in the Wild
Yumeng Liu, Xiaoxiao Long, Zemin Yang +5
Our work aims to reconstruct hand-object interactions from a single-view image, which is a fundamental but ill-posed task. Unlike methods that reconstruct from videos, multi-view i…
EgoAvatar: Egocentric View-Driven and Photorealistic Full-body Avatars
Jianchun Chen, Jian Wang, Yinda Zhang +4
Immersive VR telepresence ideally means being able to interact and communicate with digital avatars that are indistinguishable from and precisely reflect the behaviour of their rea…
Manifold Sampling for Differentiable Uncertainty in Radiance Fields
Linjie Lyu, Ayush Tewari, Marc Habermann +4
Radiance fields are powerful and, hence, popular models for representing the appearance of complex scenes. Yet, constructing them based on image observations gives rise to ambiguit…
GaussianHeads: End-to-End Learning of Drivable Gaussian Head Avatars from Coarse-to-fine Representations
Kartik Teotia, Hyeongwoo Kim, Pablo Garrido +3
Real-time rendering of human head avatars is a cornerstone of many computer graphics applications, such as augmented reality, video games, and films, to name a few. Recent approach…
A Latent Implicit 3D Shape Model for Multiple Levels of Detail
Benoit Guillard, Marc Habermann, Christian Theobalt +1
Implicit neural representations map a shape-specific latent code and a 3D coordinate to its corresponding signed distance (SDF) value. However, this approach only offers a single l…
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…
ConvoFusion: Multi-Modal Conversational Diffusion for Co-Speech Gesture Synthesis
Muhammad Hamza Mughal, Rishabh Dabral, Ikhsanul Habibie +3
Gestures play a key role in human communication. Recent methods for co-speech gesture generation, while managing to generate beat-aligned motions, struggle generating gestures that…
MetaCap: Meta-learning Priors from Multi-View Imagery for Sparse-view Human Performance Capture and Rendering
Guoxing Sun, Rishabh Dabral, Pascal Fua +2
Faithful human performance capture and free-view rendering from sparse RGB observations is a long-standing problem in Vision and Graphics. The main challenges are the lack of obser…