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Browsing Eurographics Conferences by Subject "Neural networks"
Now showing items 1-20 of 23
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Adversarial Generation of Continuous Implicit Shape Representations
(The Eurographics Association, 2020)This work presents a generative adversarial architecture for generating three-dimensional shapes based on signed distance representations. While the deep generation of shapes has been mostly tackled by voxel and surface ... -
Auto-rigging 3D Bipedal Characters in Arbitrary Poses
(The Eurographics Association, 2021)We present an end-to-end algorithm that can automatically rig a given 3D character such that it is ready for 3D animation. The animation of a virtual character requires the skeletal motion defined with bones and joints, ... -
Behavioral Landmarks: Inferring Interactions from Data
(The Eurographics Association, 2024)We aim to unravel complex agent-environment interactions from trajectories, by explaining agent paths as combinations of predefined basic behaviors. We detect trajectory points signifying environment-driven behavior changes, ... -
Data-driven Garment Pattern Estimation from 3D Geometries
(The Eurographics Association, 2021)Three-dimensional scanning technology recently becomes widely available to the public. However, it is difficult to simulate clothing deformation from the scanned people because scanned data lacks information required for ... -
Deep Learning for Graphics
(The Eurographics Association, 2018)In computer graphics, many traditional problems are now better handled by deep-learning based data-driven methods. In applications that operate on regular 2D domains, like image processing and computational photography, ... -
Estimating Cloth Simulation Parameters From Tag Information and Cusick Drape Test
(The Eurographics Association and John Wiley & Sons Ltd., 2024)In recent years, the fashion apparel industry has been increasingly employing virtual simulations for the development of new products. The first step in virtual garment simulation involves identifying the optimal simulation ... -
Fast and Fine Disparity Reconstruction for Wide-baseline Camera Arrays with Deep Neural Networks
(The Eurographics Association, 2022)Recently, disparity-based 3D reconstruction for stereo camera pairs and light field cameras have been greatly improved with the uprising of deep learning-based methods. However, only few of these approaches address ... -
Frequency-Aware Reconstruction of Fluid Simulations with Generative Networks
(The Eurographics Association, 2020)Convolutional neural networks were recently employed to fully reconstruct fluid simulation data from a set of reduced parameters. However, since (de-)convolutions traditionally trained with supervised l1-loss functions do ... -
Learning Generative Models of 3D Structures
(The Eurographics Association and John Wiley & Sons Ltd., 2020)3D models of objects and scenes are critical to many academic disciplines and industrial applications. Of particular interest is the emerging opportunity for 3D graphics to serve artificial intelligence: computer vision ... -
Learning Generative Models of 3D Structures
(The Eurographics Association, 2019)Many important applications demand 3D content, yet 3D modeling is a notoriously difficult and inaccessible activity. This tutorial provides a crash course in one of the most promising approaches for democratizing 3D modeling: ... -
Neural Denoising for Spectral Monte Carlo Rendering
(The Eurographics Association, 2022)Spectral Monte Carlo (MC) rendering is still to be largely adopted partially due to the specific noise, called color noise, induced by wavelength-dependent phenomenons. Motivated by the recent advances in Monte Carlo noise ... -
Neural Motion Compression with Frequency-adaptive Fourier Feature Network
(The Eurographics Association, 2022)We present a neural-network-based compression method to alleviate the storage cost of motion capture data. Human motions such as locomotion, often consist of periodic movements. We leverage this periodicity by applying ... -
Neural Smoke Stylization with Color Transfer
(The Eurographics Association, 2020)Artistically controlling fluid simulations requires a large amount of manual work by an artist. The recently presented transportbased neural style transfer approach simplifies workflows as it transfers the style of arbitrary ... -
Neurosymbolic Models for Computer Graphics
(The Eurographics Association and John Wiley & Sons Ltd., 2023)Procedural models (i.e. symbolic programs that output visual data) are a historically-popular method for representing graphics content: vegetation, buildings, textures, etc. They offer many advantages: interpretable design ... -
Practical Method to Estimate Fabric Mechanics from Metadata
(The Eurographics Association and John Wiley & Sons Ltd., 2024)Estimating fabric mechanical properties is crucial to create realistic digital twins. Existing methods typically require testing physical fabric samples with expensive devices or cumbersome capture setups. In this work, ... -
Real-time Neural Rendering of Dynamic Light Fields
(The Eurographics Association and John Wiley & Sons Ltd., 2024)Synthesising high-quality views of dynamic scenes via path tracing is prohibitively expensive. Although caching offline-quality global illumination in neural networks alleviates this issue, existing neural view synthesis ... -
SENS: Part-Aware Sketch-based Implicit Neural Shape Modeling
(The Eurographics Association and John Wiley & Sons Ltd., 2024)We present SENS, a novel method for generating and editing 3D models from hand-drawn sketches, including those of abstract nature. Our method allows users to quickly and easily sketch a shape, and then maps the sketch into ... -
A Smart Palette for Helping Novice Painters to Mix Physical Watercolor Pigments
(The Eurographics Association, 2018)For novice painters, color mixing is a necessary skill which takes many years to learn. To get the skill easily, we design a system, a smart palette, to help them learn quickly. Our system is based on physical watercolor ... -
State of the Art on Diffusion Models for Visual Computing
(The Eurographics Association and John Wiley & Sons Ltd., 2024)The field of visual computing is rapidly advancing due to the emergence of generative artificial intelligence (AI), which unlocks unprecedented capabilities for the generation, editing, and reconstruction of images, videos, ... -
State-of-the-Art in the Architecture, Methods and Applications of StyleGAN
(The Eurographics Association and John Wiley & Sons Ltd., 2022)Generative Adversarial Networks (GANs) have established themselves as a prevalent approach to image synthesis. Of these, StyleGAN offers a fascinating case study, owing to its remarkable visual quality and an ability to ...