output
20142025
most citedReal-time Gesture Animation Generation from Speech for Virtual Human Interaction

19 citations

5 papers

cs.GR2025

Beyond Blur: A Fluid Perspective on Generative Diffusion Models

Grzegorz Gruszczynski, Jakub Meixner, Michal Jan Wlodarczyk +1

We propose a novel PDE-driven corruption process for generative image synthesis based on advection-diffusion processes which generalizes existing PDE-based approaches. Our forward…

cs.LG202411 cited

Divide and not forget: Ensemble of selectively trained experts in Continual Learning

Grzegorz Rypeść, Sebastian Cygert, Valeriya Khan +3

Class-incremental learning is becoming more popular as it helps models widen their applicability while not forgetting what they already know. A trend in this area is to use a mixtu…

cs.DS2023

A parameterized approximation scheme for the 2D-Knapsack problem with wide items

Michal Pilipczuk, Mathieu Mari, Timothe Picavet

We study a natural geometric variant of the classic Knapsack problem called 2D-Knapsack: we are given a set of axis-parallel rectangles and a rectangular bounding box, and the goal…

cs.CV202219 cited

Real-time Gesture Animation Generation from Speech for Virtual Human Interaction

Manuel Rebol, Christian Gütl, Krzysztof Pietroszek

We propose a real-time system for synthesizing gestures directly from speech. Our data-driven approach is based on Generative Adversarial Neural Networks to model the speech-gestur…

q-bio.BM2014

The unknotted strands of life: knots are very rare in RNA structures

Cristian Micheletti, Marco Di Stefano, Henri Orland

The ongoing effort to detect and characterize physical entanglement in biopolymers has so far established that knots are present in many globular proteins and also abound in viral…