Publication
Differentiable Signed Distance Function Rendering
Publications associées (47)
Path Replay Backpropagation: Differentiating Light Paths using Constant Memory and Linear Time
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Differentiable physically-based rendering has become an indispensable tool for solving inverse problems involving light. Most applications in this area jointly optimize a large set of scene parameters to minimize an objective function, in which case revers ...
ASSOC COMPUTING MACHINERY2021Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches
Pascal Fua, Benoît Alain René Guillard, Pierre Mathieu Yvernay, Edoardo Remelli
Reconstructing 3D shape from 2D sketches has long been an open problem because the sketches only provide very sparse and ambiguous information. In this paper, we use an encoder/decoder architecture for the sketch to mesh translation. When integrated into a ...
IEEE2021Radiative Backpropagation: An Adjoint Method for Lightning-Fast Differentiable Rendering
Wenzel Alban Jakob, Sébastien Nicolas Speierer, Merlin Eléazar Nimier-David
Physically based differentiable rendering has recently evolved into a powerful tool for solving inverse problems involving light. Methods in this area perform a differentiable simulation of the physical process of light transport and scattering to estimate ...
ASSOC COMPUTING MACHINERY20202d-3d sculpture paintings
Sabine Süsstrunk, Roger Hersch, Mahmut Sami Arpa
We disclose a method for synthesizing by computer an artwork where 2D and 3D contents are integrated within a same composition. Such an artwork creates plausible effects for the viewers by showing a different relationship between 2D and 3D at each viewing ...
2020Reparameterizing Discontinuous Integrands for Differentiable Rendering
Wenzel Alban Jakob, Guillaume Rémi Bruno Loubet
Differentiable rendering has recently opened the door to a number of challenging inverse problems involving photorealistic images, such as computational material design and scattering-aware reconstruction of geometry and materials from photographs. Differe ...
ASSOC COMPUTING MACHINERY2019Generating High Fidelity Surface Meshes of Neocortical Neurons using Skin Modifiers
Felix Schürmann, Marwan Muhammad Ahmed Abdellah, Cyrille Pierre Henri Favreau, Juan Bautista Hernando Vieites, Samuel Lieven D. Lapere
We present the results of exploring the capabilities of skinning modifiers to generate high fidelity polygonal surface meshes of neurons from their morphological skeletons that are segmented from optical microscopy slides. Our algorithm is implemented in B ...
2019Instant Field-aligned Meshes
We present a novel approach to remesh a surface into an isotropic triangular or quad-dominant mesh using a unified local smoothing operator that optimizes both the edge orientations and vertex positions in the output mesh. Our algorithm produces meshes wit ...
ACM2015Mechanical form-finding of timber fabric structures
How about fastening a knot? not with ropes... but with timber panels. Timber Fabric
Structures (TFS) originate from such an inspiration. An architectural reinterpretation
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EPFL2014OCTOPUS: Efficient Query Execution on Dynamic Mesh Datasets
Anastasia Ailamaki, Henry Markram, Felix Schürmann, Thomas Heinis, Farhan Tauheed
Scientists in many disciplines use spatial mesh models to study physical phenomena. Simulating natural phenomena by changing meshes over time helps to understand and predict future behavior of the phenomena. The higher the precision of the mesh models, the ...
2014High-contrast Computational Caustic Design
Mark Pauly, Andrea Tagliasacchi, Yuliy Gennadievich Schwartzburg, Romain Pierre Testuz
We present a new algorithm for computational caustic design. Our algorithm solves for the shape of a transparent object such that the refracted light paints a desired caustic image on a receiver screen. We introduce an optimal transport formulation to esta ...
ACM2014