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Found 6 papers, 0 papers with code
Boundary Cues for 3D Object Shape Recovery
Early work in computer vision considered a host of geometric cues for both shape reconstruction and recognition.
Detecting Anomalous Faces with 'No Peeking' Autoencoders
We describe a method for detecting an anomalous face image that meets these requirements.
Authoring image decompositions with generative models
Instead, we can learn to decompose an image into layers that are "like this" by authoring generative models for each layer using proxy examples that capture the Platonic ideal (Mondrian images for albedo; rendered 3D primitives for shading; material swatches for shading detail).
Learning Large-Scale Automatic Image Colorization
The coefficients of the objective function are conditioned on image features, using a random forest.
Completing 3D Object Shape From One Depth Image
Our goal is to recover a complete 3D model from a depth image of an object.
Non-parametric Filtering for Geometric Detail Extraction and Material Representation
Geometric detail is a universal phenomenon in real world objects.
