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    PerceptualLift: Using hatches to infer a 3D organic shape from a sketch
    (The Eurographics Association, 2025) Butler, Tara; Guehl, Pascal; Parakkat, Amal Dev; Cani, Marie-Paule; Catalano, Chiara Eva; Parakkat, Amal Dev
    In this work, we investigate whether artistic hatching, popular in pen-and-ink sketches, can be consistently perceived as a depth cue. We illustrate our results by presenting PerceptualLift, a modeling system that exploits hatching to create curved 3D shapes from a single sketch. We first describe a perceptual user study conducted across a diverse group of participants, which confirms the relevance of hatches as consistent clues for inferring curvature in the depth direction from a sketch. It enables us to extract geometrical rules that link 2D hatch characteristics, such as their direction, frequency, and magnitude, to the changes of depth in the depicted 3D shape. Built on these rules, we introduce PerceptualLift, a flexible tool to model 3D organic shapes by simply hatching over 2D hand-drawn contour sketches.
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    Expressive Rendering for 2D Animations of Liquids
    (The Eurographics Association, 2025) Regla, Rodrigo Stevenson; Rohmer, Damien; Barthe, Loïc; Cani, Marie-Paule; Berio, Daniel; Bruckert, Alexandre
    We describe a new rendering technique for expressive liquid surface 2D animation that can be used on top of existing particlebased simulations. We introduce a hybrid particle model that carries both water and air density distribution and can evolve through particle history. These material quantities combined with the kinematics information are then used to generate a scalar field, which can be parameterized to create an implicit iso-surface capturing stylized geometry commonly seen in paintings and cartoons. We propose, in particular, to represent behavior highlighting the dynamical aspect of the scene, such as elongated droplet behavior and curl-like shapes found in breaking waves.