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Found 6 papers, 3 papers with code
Grid Partitioned Attention: Efficient TransformerApproximation with Inductive Bias for High Resolution Detail Generation
Attention is a general reasoning mechanism than can flexibly deal with image information, but its memory requirements had made it so far impractical for high resolution image generation.
Evaluating Salient Object Detection in Natural Images with Multiple Objects having Multi-level Saliency
In this paper, we corroborate based on three subjective experiments on a novel image dataset that objects in natural images are inherently perceived to have varying levels of importance.
Transform the Set: Memory Attentive Generation of Guided and Unguided Image Collages
Cutting and pasting image segments feels intuitive: the choice of source templates gives artists flexibility in recombining existing source material.
Generating High-Resolution Fashion Model Images Wearing Custom Outfits
Visualizing an outfit is an essential part of shopping for clothes.
Conditional Image Generation
Vocal Bursts Intensity Prediction
Unlabeled Disentangling of GANs with Guided Siamese Networks
In addition, we illustrate that simple guidance functions we use in UD-GAN-G allow us to directly capture the desired variations in the data.
Disentangling Multiple Conditional Inputs in GANs
In this paper, we propose a method that disentangles the effects of multiple input conditions in Generative Adversarial Networks (GANs).
