Browsing by Author "Bousseau, Adrien"

Now showing 1 - 8 of 8
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    Computational Design of Self-Actuated Surfaces by Printing Plastic Ribbons on Stretched Fabric
    (The Eurographics Association and John Wiley & Sons Ltd., 2022) Jourdan, David; Skouras, MƩlina; Vouga, Etienne; Bousseau, Adrien; Chaine, Raphaƫlle; Kim, Min H.
    We introduce a new mechanism for self-actuating deployable structures, based on printing a dense pattern of closely-spaced plastic ribbons on sheets of pre-stretched elastic fabric. We leverage two shape-changing effects that occur when such an assembly is printed and allowed to relax: first, the incompressible plastic ribbons frustrate the contraction of the fabric back to its rest state, forcing residual strain in the fabric and creating intrinsic curvature. Second, the differential compression at the interface between the plastic and fabric layers yields a bilayer effect in the direction of the ribbons, making each ribbon buckle into an arc at equilibrium state and creating extrinsic curvature. We describe an inverse design tool to fabricate lowcost, lightweight prototypes of freeform surfaces using the controllable directional distortion and curvature offered by this mechanism. The core of our method is a parameterization algorithm that bounds surface distortions along and across principal curvature directions, along with a pattern synthesis algorithm that covers a surface with ribbons to match the target distortions and curvature given by the aforementioned parameterization. We demonstrate the flexibility and accuracy of our method by fabricating and measuring a variety of surfaces, including nearly-developable surfaces as well as surfaces with positive and negative mean curvature, which we achieve thanks to a simple hardware setup that allows printing on both sides of the fabric.
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    EUROGRAPHICS 2023: CGF 42-2 STARs Frontmatter
    (The Eurographics Association and John Wiley & Sons Ltd., 2023) Bousseau, Adrien; Theobalt, Christian; Bousseau, Adrien; Theobalt, Christian
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    Integer-Grid Sketch Simplification and Vectorization
    (The Eurographics Association and John Wiley & Sons Ltd., 2020) Stanko, Tibor; Bessmeltsev, Mikhail; Bommes, David; Bousseau, Adrien; Jacobson, Alec and Huang, Qixing
    A major challenge in line drawing vectorization is segmenting the input bitmap into separate curves. This segmentation is especially problematic for rough sketches, where curves are depicted using multiple overdrawn strokes. Inspired by featurealigned mesh quadrangulation methods in geometry processing, we propose to extract vector curve networks by parametrizing the image with local drawing-aligned integer grids. The regular structure of the grid facilitates the extraction of clean line junctions; due to the grid's discrete nature, nearby strokes are implicitly grouped together. We demonstrate that our method successfully vectorizes both clean and rough line drawings, whereas previous methods focused on only one of those drawing types.
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    Multi-Pose Interactive Linkage Design
    (The Eurographics Association and John Wiley & Sons Ltd., 2019) Nishida, Gen; Bousseau, Adrien; Aliaga, Daniel; Alliez, Pierre and Pellacini, Fabio
    We introduce an interactive tool for novice users to design mechanical objects made of 2.5D linkages. Users simply draw the shape of the object and a few key poses of its multiple moving parts. Our approach automatically generates a one-degree-offreedom linkage that connects the fixed and moving parts, such that the moving parts traverse all input poses in order without any collision with the fixed and other moving parts. In addition, our approach avoids common linkage defects and favors compact linkages and smooth motion trajectories. Finally, our system automatically generates the 3D geometry of the object and its links, allowing the rapid creation of a physical mockup of the designed object.
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    Neural Precomputed Radiance Transfer
    (The Eurographics Association and John Wiley & Sons Ltd., 2022) Rainer, Gilles; Bousseau, Adrien; Ritschel, Tobias; Drettakis, George; Chaine, Raphaƫlle; Kim, Min H.
    Recent advances in neural rendering indicate immense promise for architectures that learn light transport, allowing efficient rendering of global illumination effects once such methods are trained. The training phase of these methods can be seen as a form of pre-computation, which has a long standing history in Computer Graphics. In particular, Pre-computed Radiance Transfer (PRT) achieves real-time rendering by freezing some variables of the scene (geometry, materials) and encoding the distribution of others, allowing interactive rendering at runtime. We adopt the same configuration as PRT - global illumination of static scenes under dynamic environment lighting - and investigate different neural network architectures, inspired by the design principles and theoretical analysis of PRT. We introduce four different architectures, and show that those based on knowledge of light transport models and PRT-inspired principles improve the quality of global illumination predictions at equal training time and network size, without the need for high-end ray-tracing hardware.
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    Rendering 2021 DL Track: Frontmatter
    (The Eurographics Association, 2021) Bousseau, Adrien; McGuire, Morgan; Bousseau, Adrien and McGuire, Morgan
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    Sketch-Based Modeling of Parametric Shapes
    (The Eurographics Association, 2019) Wailly, Bastien; Bousseau, Adrien; Berio, Daniel and Cruz, Pedro and Echevarria, Jose
    We demonstrate a sketch-based modeling system running on a multi-touch pen tablet. Our system takes inspiration from the work of Nishida et al. [NGDGA*16], who proposed to use deep convolutional networks to interpret sketches of parametric shapes. While Nishida et al. applied this approach to the creation of procedural buildings, we focus on the creation of simple shapes (cuboids, cylinders, cones, spheres, pyramids) that users can assemble to create more complex objects. In this poster we describe the main components of our system - the deep convolutional networks used for sketch interpretation, the training data, the user interface, and the overall software architecture that combines these components. We will allow conference attendees to test our system on a pen tablet.
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    Video Motion Stylization by 2D Rigidification
    (The Eurographics Association, 2019) Delanoy, Johanna; Bousseau, Adrien; Hertzmann, Aaron; Kaplan, Craig S. and Forbes, Angus and DiVerdi, Stephen
    This paper introduces a video stylization method that increases the apparent rigidity of motion. Existing stylization methods often retain the 3D motion of the original video, making the result look like a 3D scene covered in paint rather than a 2D painting of a scene. In contrast, traditional hand-drawn animations often exhibit simplified in-plane motion, such as in the case of cut-out animations where the animator moves pieces of paper from frame to frame. Inspired by this technique, we propose to modify a video such that its content undergoes 2D rigid transforms. To achieve this goal, our approach applies motion segmentation and optimization to best approximate the input optical flow with piecewise-rigid transforms, and re-renders the video such that its content follows the simplified motion. The output of our method is a new video and its optical flow, which can be fed to any existing video stylization algorithm.