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In this paper, we tackle the problem of static 3D cloth draping on virtual human bodies. We introduce a two-stream deep network model that produces a visually plausible draping of a template cloth on virtual 3D bodies by extracting features from both the b ...
This article describes a method for modeling the propagation of cracks on any 3D surface. This method allows almost any type of cracks on any type of triangulated 3D object. Our model’s main advantage is that it proposes a semi-physical solution, making it ...
In this thesis, we focus on the problem of recovering 3D shapes of deformable surfaces from a single camera. This problem is known to be ill-posed as for a given 2D input image there exist many 3D shapes that give visually identical projections. We present ...
We present a non-rigid registration technique that achieves spatial, photometric, and visibility accuracy. It lets us photo-realistically augment 3D deformable surfaces under complex illumination conditions and in spite of severe occlusions. There are many ...
It has recently been shown that deformable 3D surfaces could be recovered from single video streams. However, existing techniques either require a reference view in which the shape of the surface is known a priori, which often may not be available, or requ ...
This paper describes a method for modeling the natural peeling phenomenon over any 3D surface. Using crack input data—precomputed with a semi-physical solution—this method allows simulating peeling on any type of triangulated 3D object. Our model’s main ad ...
This article describes a method for modeling the propagation of cracks on any 3D surface. Taking a previous cellular automata model as basis, this method allows any type of cracks on any type of triangulated 3D object. Our model's main advantage is that it ...
A method for enforcing smoothness constraints on surface meshes produced by a Graph Convolutional Neural Network (GCNN) including the steps of reading image data from a memory, the image data including two-dimensional image data representing a three-dimens ...