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  • Real-Time Music-Driven Movie Design Framework 

    Hofmann, Sarah; Seeger, Maximilian; Rogge-Pott, Henning; Mammen, Sebastian von (The Eurographics Association, 2022)
    Cutting to music is a widely used stylistic device in film making. The usual process involves an editor manually adjusting the movie's sequences contingent upon beat or other musical features. But with today's movie ...
  • (Re-)Framing Virtual Reality 

    Sagot-Duvauroux, Rémi; Garnier, François; Ronfard, Rémi (The Eurographics Association, 2022)
    We address the problem of translating the rich vocabulary of cinematographic shots elaborated in classic films for use in virtual reality. Using a classic scene from Alfred Hitchcock's "North by Northwest", we describe a ...
  • Consistent Multi- and Single-View HDR-Image Reconstruction from Single Exposures 

    Mohan, Aditya; Zhang, Jing; Cozot, Remi; Loscos, Celine (The Eurographics Association, 2022)
    Recently, there have been attempts to obtain high-dynamic range (HDR) images from single exposures and efforts to reconstruct multi-view HDR images using multiple input exposures. However, there have not been any attempts ...
  • Framework to Computationally Analyze Kathakali Videos 

    Bulani, Pratikkumar; S, Jayachandran; Sivaprasad, Sarath; Gandhi, Vineet (The Eurographics Association, 2022)
    Kathakali is one of the major forms of Classical Indian Dance. The dance form is distinguished by the elaborately colourful makeup, costumes and face masks. In this work, we present (a) a framework to analyze the facial ...
  • Evaluation of Deep Pose Detectors for Automatic Analysis of Film Style 

    Wu, Hui-Yin; Nguyen, Luan; Tabei, Yoldoz; Sassatelli, Lucile (The Eurographics Association, 2022)
    Identifying human characters and how they are portrayed on-screen is inherently linked to how we perceive and interpret the story and artistic value of visual media. Building computational models sensible towards story ...
  • The Prose Storyboard Language: A Tool for Annotating and Directing Movies 

    Ronfard, Rémi; Gandhi, Vineet; Boiron, Laurent; Murukutla, Vaishnavi Ameya (The Eurographics Association, 2022)
    The prose storyboard language is a formal language for describing movies shot by shot, where each shot is described with a unique sentence. The language uses a simple syntax and limited vocabulary borrowed from working ...
  • Using Advene to Bridge the Gap Between Users and Ontologies in Movie Annotation 

    Aubert, Olivier (The Eurographics Association, 2022)
    Feature movies and documentaries analysis has always relied on available access tools and possibilities: movie theaters required memorizing whole sequences, home video (VHS, DVD) brought new possibilities for analysis. ...
  • WICED 2022: Frontmatter 

    Ronfard, Rémi; Wu, Hui-Yin (The Eurographics Association, 2022)
  • Efficient acoustic perception for virtual AI agents 

    Chemistruck, Mike; Allen, Andrew; Snyder, John; Raghuvanshi, Nikunj (ACM, 2021)
    We model acoustic perception in AI agents efficiently within complex scenes with many sound events. The key idea is to employ perceptual parameters that capture how each sound event propagates through the scene to the ...
  • A GAN-Like Approach for Physics-Based Imitation Learning and Interactive Control 

    Xu, Pei; Karamouzas, Ioannis (ACM, 2021)
    We present a simple and intuitive approach for interactive control of physically simulated characters. Our work builds upon generative adversarial networks (GAN) and reinforcement learning, and introduces an imitation ...
  • Global Position Prediction for Interactive Motion Capture 

    Schreiner, Paul; Perepichka, Maksym; Lewis, Hayden; Darkner, Sune; Kry, Paul G.; Erleben, Kenny; Zordan, Victor B. (ACM, 2021)
    We present a method for reconstructing the global position of motion capture where position sensing is poor or unavailable. Capture systems, such as IMU suits, can provide excellent pose and orientation data of a capture ...
  • A Perceptually-Validated Metric for Crowd Trajectory Quality Evaluation 

    Daniel, Beatriz Cabrero; Marques, Ricardo; Hoyet, Ludovic; Pettré, Julien; Blat, Josep (ACM, 2021)
    Simulating crowds requires controlling a very large number of trajectories and is usually performed using crowd motion algorithms for which appropriate parameter values need to be found. The study of the relation between ...
  • Visual Simulation of Soil-Structure Destruction with Seepage Flows 

    Wang, Xu; Fujisawa, Makoto; Mikawa, Masahiko (ACM, 2021)
    This paper introduces a method for simulating soil-structure coupling with water, which involves a series of visual effects, including wet granular materials, seepage flows, capillary action between grains, and dam breaking ...
  • Neural UpFlow: A Scene Flow Learning Approach to Increase the Apparent Resolution of Particle-Based Liquids 

    Roy, Bruno; Poulin, Pierre; Paquette, Eric (ACM, 2021)
    We present a novel up-resing technique for generating high-resolution liquids based on scene flow estimation using deep neural networks. Our approach infers and synthesizes small- and large-scale details solely from a ...
  • Three Dimensional Reconstruction of Botanical Trees with Simulatable Geometry 

    Quigley, Ed; Lin, Winnie; Zhu, Yilin; Fedkiw, Ronald (ACM, 2021)
    We tackle the challenging problem of creating full and accurate three dimensional reconstructions of botanical trees with the topological and geometric accuracy required for subsequent physical simulation, e.g. in response ...
  • Recovering Geometric Information with Learned Texture Perturbations 

    Wu, Jane; Jin, Yongxu; Geng, Zhenglin; Zhou, Hui; Fedkiw, Ronald (ACM, 2021)
    Regularization is used to avoid overfitting when training a neural network; unfortunately, this reduces the attainable level of detail hindering the ability to capture high-frequency information present in the training ...
  • Flexible Motion Optimization with Modulated Assistive Forces 

    Kim, Nam Hee; Ling, Hung Yu; Xie, Zhaoming; Panne, Michiel Van De (ACM, 2021)
    Animated motions should be simple to direct while also being plausible. We present a flexible keyframe-based character animation system that generates plausible simulated motions for both physically-feasible and ...
  • Diverse Motion Stylization for Multiple Style Domains via Spatial-Temporal Graph-Based Generative Model 

    Park, Soomin; Jang, Deok-Kyeong; Lee, Sung-Hee (ACM, 2021)
    This paper presents a novel deep learning-based framework for translating a motion into various styles within multiple domains. Our framework is a single set of generative adversarial networks that learns stylistic features ...
  • A functional skeleton transfer 

    Musoni, Pietro; Marin, Riccardo; Melzi, Simone; Castellani, Umberto (ACM, 2021)
    The animation community has spent significant effort trying to ease rigging procedures. This is necessitated because the increasing availability of 3D data makes manual rigging infeasible. However, object animations involve ...
  • Fast Corotated Elastic SPH Solids with Implicit Zero-Energy Mode Control 

    Kugelstadt, Tassilo; Bender, Jan; Fernández-Fernández, José Antonio; Jeske, Stefan Rhys; Löschner, Fabian; Longva, Andreas (ACM, 2021)
    We develop a new operator splitting formulation for the simulation of corotated linearly elastic solids with Smoothed Particle Hydrodynamics (SPH). Based on the technique of Kugelstadt et al. [2018] originally developed ...

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