Search Results for author: Eftychios Sifakis

Found 6 papers, 0 papers with code

Learning a Generalized Physical Face Model From Data

no code implementations29 Feb 2024 Lingchen Yang, Gaspard Zoss, Prashanth Chandran, Markus Gross, Barbara Solenthaler, Eftychios Sifakis, Derek Bradley

Physically-based simulation is a powerful approach for 3D facial animation as the resulting deformations are governed by physical constraints, allowing to easily resolve self-collisions, respond to external forces and perform realistic anatomy edits.

Anatomy Collision Avoidance +1

An Implicit Physical Face Model Driven by Expression and Style

no code implementations27 Jan 2024 Lingchen Yang, Gaspard Zoss, Prashanth Chandran, Paulo Gotardo, Markus Gross, Barbara Solenthaler, Eftychios Sifakis, Derek Bradley

At the core, we present a framework for learning implicit physics-based actuations for multiple subjects simultaneously, trained on a few arbitrary performance capture sequences from a small set of identities.

Face Model Style Transfer

Fast Sparse 3D Convolution Network with VDB

no code implementations5 Nov 2023 Fangjun Zhou, Anyong Mao, Eftychios Sifakis

We proposed a new Convolution Neural Network implementation optimized for sparse 3D data inference.

3D Object Classification

Near-realtime Facial Animation by Deep 3D Simulation Super-Resolution

no code implementations5 May 2023 Hyojoon Park, Sangeetha Grama Srinivasan, Matthew Cong, Doyub Kim, Byungsoo Kim, Jonathan Swartz, Ken Museth, Eftychios Sifakis

We present a neural network-based simulation super-resolution framework that can efficiently and realistically enhance a facial performance produced by a low-cost, realtime physics-based simulation to a level of detail that closely approximates that of a reference-quality off-line simulator with much higher resolution (26x element count in our examples) and accurate physical modeling.

Semantic correspondence Super-Resolution

Differentiable Implicit Soft-Body Physics

no code implementations11 Feb 2021 Junior Rojas, Eftychios Sifakis, Ladislav Kavan

In contrast to other differentiable physics approaches that use explicit forward models to define state transitions, we focus on implicit state transitions defined via function minimization.

Numerical Integration

Real-time Non-line-of-Sight imaging of dynamic scenes

no code implementations24 Oct 2020 Ji Hyun Nam, Eric Brandt, Sebastian Bauer, Xiaochun Liu, Eftychios Sifakis, Andreas Velten

Non-Line-of-Sight (NLOS) imaging aims at recovering the 3D geometry of objects that are hidden from the direct line of sight.

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