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Found 2 papers, 1 papers with code
Bokeh-Loss GAN: Multi-Stage Adversarial Training for Realistic Edge-Aware Bokeh
We thus propose a network-based approach that is capable of rendering realistic monocular bokeh from single image inputs.
E3D: Event-Based 3D Shape Reconstruction
We first introduce an event-to-silhouette (E2S) neural network module to transform a stack of event frames to the corresponding silhouettes, with additional neural branches for camera pose regression.
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