Edge Guided GANs with Semantic Preserving for Semantic Image Synthesis
A novel ECGAN for the challenging semantic image synthesis task
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A novel ECGAN for the challenging semantic image synthesis task
A large-scale, diverse posture-based distracted diver dataset, with more than 470K images taken by 4 cameras observing 100 drivers over 79 hours from 5 vehicles.
We address multi-target domain adaptation (MTDA), where given one labeled source dataset and multiple unlabeled target datasets that differ in data distributions, the task is to learn a robust predictor for all the target domains. We identify two key aspe...
A novel approach for class-iNCD which prevents forgetting of past information about the base classes by jointly exploiting base class feature prototypes and feature-level knowledge distillation.
A novel Bipartite Graph Reasoning GAN (BiGraphGAN) for the challenging person image generation task.
A Pytorch-based batch-efficient ED solver for small and medium matrices (dim<32), which is dedicated to the application scenarios of computer vision.
An augmentation-free unsupervised approach for point clouds to learn transferable point-level features via soft clustering, (SoftClu).
A new Attention-Guided Generative Adversarial Network (AttentionGAN) for the unpaired image to image translation task.
The asset proposed a 3D-aware Semantic-Guided Generative Model (3D-SGAN) for human image synthesis, which combines a Generative Neural Radiance Field (GNeRF) with a texture generator. Without requiring additional 3D information, our model can learn 3D hum...
The Aristotle University of Thessaloniki (hereinafter, AUTH) created the following dataset, entitled ‘Blaze’, within the context of the project TEMA that was funded by the European Commission-European Union [Grant Agreement number: 101093003; start date: ...