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Found 3 papers, 1 papers with code
SieveNet: Selecting Point-Based Features for Mesh Networks
Meshes are widely used in 3D computer vision and graphics, but their irregular topology poses challenges in applying them to existing neural network architectures.
Exploring and Utilizing Pattern Imbalance
In this paper, we identify pattern imbalance from several aspects, and further develop a new training scheme to avert pattern preference as well as spurious correlation.
Im2Oil: Stroke-Based Oil Painting Rendering with Linearly Controllable Fineness Via Adaptive Sampling
Comparison with existing state-of-the-art oil painting techniques shows that our results have higher fidelity and more realistic textures.
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