activity
20172026
most citedXNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera

265 citations · 785 across the 88 of their papers we have counts for

collaborators
Showing 2023Show all

8 papers · 1 filter

cs.CV2023

NICP: Neural ICP for 3D Human Registration at Scale

Riccardo Marin, Enric Corona, Gerard Pons-Moll

Aligning a template to 3D human point clouds is a long-standing problem crucial for tasks like animation, reconstruction, and enabling supervised learning pipelines. Recent data-dr…

cs.CV2023★ 1 cited

Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering

Kim Youwang, Tae-Hyun Oh, Gerard Pons-Moll

We present Paint-it, a text-driven high-fidelity texture map synthesis method for 3D meshes via neural re-parameterized texture optimization. Paint-it synthesizes texture maps from…

cs.CV2023

Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation

Xianghui Xie, Bharat Lal Bhatnagar, Jan Eric Lenssen +1

Reconstructing human-object interaction in 3D from a single RGB image is a challenging task and existing data driven methods do not generalize beyond the objects present in the car…

cs.CV2023

GAN-Avatar: Controllable Personalized GAN-based Human Head Avatar

Berna Kabadayi, Wojciech Zielonka, Bharat Lal Bhatnagar +2

Digital humans and, especially, 3D facial avatars have raised a lot of attention in the past years, as they are the backbone of several applications like immersive telepresence in…

cs.CV2023

NSF: Neural Surface Fields for Human Modeling from Monocular Depth

Yuxuan Xue, Bharat Lal Bhatnagar, Riccardo Marin +4

Obtaining personalized 3D animatable avatars from a monocular camera has several real world applications in gaming, virtual try-on, animation, and VR/XR, etc. However, it is very c…

cs.CV2023★ 2 cited

Object pop-up: Can we infer 3D objects and their poses from human interactions alone?

Ilya A. Petrov, Riccardo Marin, Julian Chibane +1

The intimate entanglement between objects affordances and human poses is of large interest, among others, for behavioural sciences, cognitive psychology, and Computer Vision commun…

cs.CV2023★ 1 cited

Generating Continual Human Motion in Diverse 3D Scenes

Aymen Mir, Xavier Puig, Angjoo Kanazawa +1

We introduce a method to synthesize animator guided human motion across 3D scenes. Given a set of sparse (3 or 4) joint locations (such as the location of a person's hand and two f…

cs.CV2023★ 2 cited

Visibility Aware Human-Object Interaction Tracking from Single RGB Camera

Xianghui Xie, Bharat Lal Bhatnagar, Gerard Pons-Moll

Capturing the interactions between humans and their environment in 3D is important for many applications in robotics, graphics, and vision. Recent works to reconstruct the 3D human…