44 citations · 152 across the 78 of their papers we have counts for
91 papers
TokenMatch: 3D Mesh Correspondence Transformer with Curvature-Guided Tokenisation
Adeela Islam, Zorah Lähner, Vittorio Murino +1
While data-driven 3D shape correspondence estimation has recently seen substantial progress, robust matching under partial observations and strong non-isometric deformations remain…
DCGrasp: Distance-aware Controllable Grasp Generation
Hiroyasu Akada, Jesús Pérez, Emre Aksan +6
Generating 3D hand-object interactions is essential for applications in robotics, XR, and synthetic data generation, where flexible controllability and strong generalization to div…
D-Rex : Diffusion Rendering for Relightable Expressive Avatars
Timo Teufel, Xilong Zhou, Umar Iqbal +4
We present D-Rex, a person-specific framework for photorealistic, relightable, expressive, and animatable full-body human avatars with free-viewpoint rendering. Existing methods fo…
E-3DPSM: A State Machine for Event-Based Egocentric 3D Human Pose Estimation
Mayur Deshmukh, Hiroyasu Akada, Helge Rhodin +2
Event cameras offer multiple advantages in monocular egocentric 3D human pose estimation from head-mounted devices, such as millisecond temporal resolution, high dynamic range, and…
SceMoS: Scene-Aware 3D Human Motion Synthesis by Planning with Geometry-Grounded Tokens
Anindita Ghosh, Vladislav Golyanik, Taku Komura +3
Synthesizing text-driven 3D human motion within realistic scenes requires learning both semantic intent ("walk to the couch") and physical feasibility (e.g., avoiding collisions).…
EventNeuS: 3D Mesh Reconstruction from a Single Event Camera
Shreyas Sachan, Viktor Rudnev, Mohamed Elgharib +2
Event cameras offer a considerable alternative to RGB cameras in many scenarios. While there are recent works on event-based novel-view synthesis, dense 3D mesh reconstruction rema…
DInf-Grid: A Neural Differential Equation Solver with Differentiable Feature Grids
Navami Kairanda, Shanthika Naik, Marc Habermann +3
We present a novel differentiable grid-based representation for efficiently solving differential equations (DEs). Widely used architectures for neural solvers, such as sinusoidal n…
ExposeAnyone: Personalized Audio-to-Expression Diffusion Models Are Robust Zero-Shot Face Forgery Detectors
Kaede Shiohara, Toshihiko Yamasaki, Vladislav Golyanik
Detecting unknown deepfake manipulations remains one of the most challenging problems in face forgery detection. Current state-of-the-art approaches fail to generalize to unseen ma…
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…
Ev4DGS: Novel-view Rendering of Non-Rigid Objects from Monocular Event Streams
Takuya Nakabayashi, Navami Kairanda, Hideo Saito +1
Event cameras offer various advantages for novel view rendering compared to synchronously operating RGB cameras, and efficient event-based techniques supporting rigid scenes have b…
Splat the Net: Radiance Fields with Splattable Neural Primitives
Xilong Zhou, Bao-Huy Nguyen, Loïc Magne +3
Radiance fields have emerged as a predominant representation for modeling 3D scene appearance. Neural formulations such as Neural Radiance Fields provide high expressivity but requ…
PractiLight: Practical Light Control Using Foundational Diffusion Models
Yotam Erel, Rishabh Dabral, Vladislav Golyanik +2
Light control in generated images is a difficult task, posing specific challenges, spanning over the entire image and frequency spectrum. Most approaches tackle this problem by tra…
GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals
Mohit Mendiratta, Mayur Deshmukh, Kartik Teotia +3
3D Morphable Models (3DMMs) enable controllable facial geometry and expression editing for reconstruction, animation, and AR/VR, but traditional PCA-based mesh models are limited i…
HumanOLAT: A Large-Scale Dataset for Full-Body Human Relighting and Novel-View Synthesis
Timo Teufel, Pulkit Gera, Xilong Zhou +5
Simultaneous relighting and novel-view rendering of digital human representations is an important yet challenging task with numerous applications. Progress in this area has been si…
Quantum Visual Fields with Neural Amplitude Encoding
Shuteng Wang, Christian Theobalt, Vladislav Golyanik
Quantum Implicit Neural Representations (QINRs) have emerged as a promising paradigm that leverages parametrised quantum circuits to encode and process classical information. Howev…
Compensating connectivity restrictions in quantum annealers via splitting and linearization techniques
Marcel Seelbach Benkner, Zorah Lähner, Vladislav Golyanik +2
Current quantum annealing experiments often suffer from restrictions in connectivity in the sense that only certain qubits can be coupled to each other. The most common strategy to…
Attention (as Discrete-Time Markov) Chains
Yotam Erel, Olaf Dünkel, Rishabh Dabral +3
We introduce a new interpretation of the attention matrix as a discrete-time Markov chain. Our interpretation sheds light on common operations involving attention scores such as se…
DuetGen: Music Driven Two-Person Dance Generation via Hierarchical Masked Modeling
Anindita Ghosh, Bing Zhou, Rishabh Dabral +5
We present DuetGen, a novel framework for generating interactive two-person dances from music. The key challenge of this task lies in the inherent complexities of two-person dance…
Denoising Functional Maps: Diffusion Models for Shape Correspondence
Aleksei Zhuravlev, Zorah Lähner, Vladislav Golyanik
Estimating correspondences between pairs of deformable shapes remains a challenging problem. Despite substantial progress, existing methods lack broad generalization capabilities a…
Thin-Shell-SfT: Fine-Grained Monocular Non-rigid 3D Surface Tracking with Neural Deformation Fields
Navami Kairanda, Marc Habermann, Shanthika Naik +2
3D reconstruction of highly deformable surfaces (e.g. cloths) from monocular RGB videos is a challenging problem, and no solution provides a consistent and accurate recovery of fin…
QuCOOP: A Versatile Framework for Solving Composite and Binary-Parametrised Problems on Quantum Annealers
Natacha Kuete Meli, Vladislav Golyanik, Marcel Seelbach Benkner +1
There is growing interest in solving computer vision problems such as mesh or point set alignment using Adiabatic Quantum Computing (AQC). Unfortunately, modern experimental AQC de…
Bring Your Rear Cameras for Egocentric 3D Human Pose Estimation
Hiroyasu Akada, Jian Wang, Vladislav Golyanik +1
Egocentric 3D human pose estimation has been actively studied using cameras installed in front of a head-mounted device (HMD). While frontal placement is the optimal and the only o…
Betsu-Betsu: Multi-View Separable 3D Reconstruction of Two Interacting Objects
Suhas Gopal, Rishabh Dabral, Vladislav Golyanik +1
Separable 3D reconstruction of multiple objects from multi-view RGB images -- resulting in two different 3D shapes for the two objects with a clear separation between them -- remai…
E-3DGS: Event-Based Novel View Rendering of Large-Scale Scenes Using 3D Gaussian Splatting
Sohaib Zahid, Viktor Rudnev, Eddy Ilg +1
Novel view synthesis techniques predominantly utilize RGB cameras, inheriting their limitations such as the need for sufficient lighting, susceptibility to motion blur, and restric…