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Found 6 papers, 4 papers with code
Neural Alignment for Face De-pixelization
Although simple, our framework synthesizes high-quality face reconstructions, demonstrating that given the statistical prior of a human face, multiple aligned pixelated frames contain sufficient information to reconstruct a high-quality approximation of the original signal.
SketchPatch: Sketch Stylization via Seamless Patch-level Synthesis
The paradigm of image-to-image translation is leveraged for the benefit of sketch stylization via transfer of geometric textural details.
Focus-and-Expand: Training Guidance Through Gradual Manipulation of Input Features
Drawing inspiration from Parameter Continuation methods, we propose steering the training process to consider specific features in the input more than others, through gradual shifts in the input domain.
Image Morphing with Perceptual Constraints and STN Alignment
In image morphing, a sequence of plausible frames are synthesized and composited together to form a smooth transformation between given instances.
MeshCNN: A Network with an Edge
In this paper, we utilize the unique properties of the mesh for a direct analysis of 3D shapes using MeshCNN, a convolutional neural network designed specifically for triangular meshes.
ALIGNet: Partial-Shape Agnostic Alignment via Unsupervised Learning
The process of aligning a pair of shapes is a fundamental operation in computer graphics.
