Vladislav Golyanik

research

∙ 08/24/2023

NeuralClothSim: Neural Deformation Fields Meet the Kirchhoff-Love Thin Shell Theory

Cloth simulation is an extensively studied problem, with a plethora of s...

0 Navami Kairanda, et al. ∙

research

∙ 08/24/2023

ROAM: Robust and Object-aware Motion Generation using Neural Pose Descriptors

Existing automatic approaches for 3D virtual character motion synthesis ...

0 Wanyue Zhang, et al. ∙

research

∙ 08/16/2023

SceNeRFlow: Time-Consistent Reconstruction of General Dynamic Scenes

Existing methods for the 4D reconstruction of general, non-rigidly defor...

0 Edith Tretschk, et al. ∙

research

∙ 07/03/2023

VINECS: Video-based Neural Character Skinning

Rigging and skinning clothed human avatars is a challenging task and tra...

0 Zhouyingcheng Liao, et al. ∙

research

∙ 06/01/2023

AvatarStudio: Text-driven Editing of 3D Dynamic Human Head Avatars

Capturing and editing full head performances enables the creation of vir...

0 Mohit Mendiratta, et al. ∙

research

∙ 05/08/2023

Self-supervised Pre-training with Masked Shape Prediction for 3D Scene Understanding

Masked signal modeling has greatly advanced self-supervised pre-training...

0 Li Jiang, et al. ∙

research

∙ 05/02/2023

EgoLocate: Real-time Motion Capture, Localization, and Mapping with Sparse Body-mounted Sensors

Human and environment sensing are two important topics in Computer Visio...

0 Xinyu Yi, et al. ∙

research

∙ 03/28/2023

CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes

Jointly matching multiple, non-rigidly deformed 3D shapes is a challengi...

0 Harshil Bhatia, et al. ∙

research

∙ 03/27/2023

Quantum Multi-Model Fitting

Geometric model fitting is a challenging but fundamental computer vision...

0 Matteo Farina, et al. ∙

research

∙ 03/23/2023

Plotting Behind the Scenes: Towards Learnable Game Engines

Game engines are powerful tools in computer graphics. Their power comes ...

0 Willi Menapace, et al. ∙

research

∙ 01/12/2023

Scene-Aware 3D Multi-Human Motion Capture from a Single Camera

In this work, we consider the problem of estimating the 3D position of m...

0 Diogo Luvizon, et al. ∙

research

∙ 12/14/2022

IMos: Intent-Driven Full-Body Motion Synthesis for Human-Object Interactions

Can we make virtual characters in a scene interact with their surroundin...

0 Anindita Ghosh, et al. ∙

research

∙ 12/08/2022

MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis

Conventional methods for human motion synthesis are either deterministic...

0 Rishabh Dabral, et al. ∙

research

∙ 12/02/2022

Fast Non-Rigid Radiance Fields from Monocularized Data

3D reconstruction and novel view synthesis of dynamic scenes from collec...

0 Moritz Kappel, et al. ∙

research

∙ 10/27/2022

State of the Art in Dense Monocular Non-Rigid 3D Reconstruction

3D reconstruction of deformable (or non-rigid) scenes from a set of mono...

0 Edith Tretschk, et al. ∙

research

∙ 10/13/2022

QuAnt: Quantum Annealing with Learnt Couplings

Modern quantum annealers can find high-quality solutions to combinatoria...

0 Marcel Seelbach Benkner, et al. ∙

research

∙ 10/11/2022

HiFECap: Monocular High-Fidelity and Expressive Capture of Human Performances

Monocular 3D human performance capture is indispensable for many applica...

0 Yue Jiang, et al. ∙

research

∙ 08/17/2022

MoCapDeform: Monocular 3D Human Motion Capture in Deformable Scenes

3D human motion capture from monocular RGB images respecting interaction...

3 Zhi Li, et al. ∙

research

∙ 08/02/2022

UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capture

We present UnrealEgo, i.e., a new large-scale naturalistic dataset for e...

1 Hiroyasu Akada, et al. ∙

research

∙ 06/23/2022

EventNeRF: Neural Radiance Fields from a Single Colour Event Camera

Learning coordinate-based volumetric 3D scene representations such as ne...

0 Viktor Rudnev, et al. ∙

research

∙ 06/16/2022

Unbiased 4D: Monocular 4D Reconstruction with a Neural Deformation Model

Capturing general deforming scenes is crucial for many computer graphics...

0 Erik C. M. Johnson, et al. ∙

research

∙ 05/11/2022

HULC: 3D Human Motion Capture with Pose Manifold Sampling and Dense Contact Guidance

Marker-less monocular 3D human motion capture (MoCap) with scene interac...

0 Soshi Shimada, et al. ∙

research

∙ 03/24/2022

Quantum Motion Segmentation

Motion segmentation is a challenging problem that seeks to identify inde...

4 Federica Arrigoni, et al. ∙

research

∙ 03/23/2022

Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization

We present a hybrid classical-quantum framework based on the Frank-Wolfe...

0 Alp Yurtsever, et al. ∙

research

∙ 03/22/2022

φ-SfT: Shape-from-Template with a Physics-Based Deformation Model

Shape-from-Template (SfT) methods estimate 3D surface deformations from ...

0 Navami Kairanda, et al. ∙

research

∙ 03/16/2022

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

Motion capture from sparse inertial sensors has shown great potential co...

0 Xinyu Yi, et al. ∙

research

∙ 03/03/2022

Playable Environments: Video Manipulation in Space and Time

We present Playable Environments - a new representation for interactive ...

2 Willi Menapace, et al. ∙

research

∙ 12/09/2021

Neural Radiance Fields for Outdoor Scene Relighting

Photorealistic editing of outdoor scenes from photographs requires a pro...

0 Viktor Rudnev, et al. ∙

research

∙ 10/21/2021

Convex Joint Graph Matching and Clustering via Semidefinite Relaxations

This paper proposes a new algorithm for simultaneous graph matching and ...

0 Maximilian Krahn, et al. ∙

research

∙ 08/19/2021

Gravity-Aware Monocular 3D Human-Object Reconstruction

This paper proposes GraviCap, i.e., a new approach for joint markerless ...

13 Rishabh Dabral, et al. ∙

research

∙ 07/08/2021

Adiabatic Quantum Graph Matching with Permutation Matrix Constraints

Matching problems on 3D shapes and images are challenging as they are fr...

0 Marcel Seelbach Benkner, et al. ∙

research

∙ 07/07/2021

Egocentric Videoconferencing

We introduce a method for egocentric videoconferencing that enables hand...

2 Mohamed Elgharib, et al. ∙

research

∙ 07/02/2021

HandVoxNet++: 3D Hand Shape and Pose Estimation using Voxel-Based Neural Networks

3D hand shape and pose estimation from a single depth map is a new and c...

29 Jameel Malik, et al. ∙

research

∙ 06/21/2021

Fast Simultaneous Gravitational Alignment of Multiple Point Sets

The problem of simultaneous rigid alignment of multiple unordered point ...

0 Vladislav Golyanik, et al. ∙

research

∙ 05/06/2021

Q-Match: Iterative Shape Matching via Quantum Annealing

Finding shape correspondences can be formulated as an NP-hard quadratic ...

0 Marcel Seelbach Benkner, et al. ∙

research

∙ 05/03/2021

Neural Monocular 3D Human Motion Capture with Physical Awareness

We present a new trainable system for physically plausible markerless 3D...

39 Soshi Shimada, et al. ∙

research

∙ 04/30/2021

Differentiable Event Stream Simulator for Non-Rigid 3D Tracking

This paper introduces the first differentiable simulator of event stream...

1 Jalees Nehvi, et al. ∙

research

∙ 03/11/2021

HumanGAN: A Generative Model of Humans Images

Generative adversarial networks achieve great performance in photorealis...

41 Kripasindhu Sarkar, et al. ∙

research

∙ 02/22/2021

Style and Pose Control for Image Synthesis of Humans from a Single Monocular View

Photo-realistic re-rendering of a human from a single image with explici...

43 Kripasindhu Sarkar, et al. ∙

research

∙ 01/19/2021

Quantum Permutation Synchronization

We present QuantumSync, the first quantum algorithm for solving a synchr...

7 Tolga Birdal, et al. ∙

research

∙ 01/11/2021

Neural Re-Rendering of Humans from a Single Image

Human re-rendering from a single image is a starkly under-constrained pr...

28 Kripasindhu Sarkar, et al. ∙

research

∙ 12/22/2020

Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video

We present Non-Rigid Neural Radiance Fields (NR-NeRF), a reconstruction ...

7 Edgar Tretschk, et al. ∙

research

∙ 12/20/2020

High-Fidelity Neural Human Motion Transfer from Monocular Video

Video-based human motion transfer creates video animations of humans fol...

15 Moritz Kappel, et al. ∙

research

∙ 12/11/2020

EventHands: Real-Time Neural 3D Hand Reconstruction from an Event Stream

3D hand pose estimation from monocular videos is a long-standing and cha...

4 Viktor Rudnev, et al. ∙

research

∙ 12/07/2020

Pose-Guided Human Animation from a Single Image in the Wild

We present a new pose transfer method for synthesizing a human animation...

0 Jae Shin Yoon, et al. ∙

research

∙ 09/28/2020

Fast Gravitational Approach for Rigid Point Set Registration with Ordinary Differential Equations

This article introduces a new physics-based method for rigid point set a...

0 Sk Aziz Ali, et al. ∙

research

∙ 08/20/2020

PhysCap: Physically Plausible Monocular 3D Motion Capture in Real Time

Marker-less 3D human motion capture from a single colour camera has seen...

0 Soshi Shimada, et al. ∙

research

∙ 08/04/2020

PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations

Implicit surface representations, such as signed-distance functions, com...

42 Edgar Tretschk, et al. ∙

research

∙ 04/03/2020

HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation from a Single Depth Map

3D hand shape and pose estimation from a single depth map is a new and c...

0 Jameel Malik, et al. ∙

research

∙ 09/05/2019

Intrinsic Dynamic Shape Prior for Fast, Sequential and Dense Non-Rigid Structure from Motion with Detection of Temporally-Disjoint Rigidity

While dense non-rigid structure from motion (NRSfM) has been extensively...

0 Vladislav Golyanik, et al. ∙

Vladislav Golyanik

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