most citedGaussian Mixture Generative Adversarial Networks for Diverse Datasets, and the Unsupervised Clustering of Images

40 citations · 40 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2026

AVControl: Efficient Framework for Training Audio-Visual Controls

Matan Ben-Yosef, Tavi Halperin, Naomi Ken Korem +6

Controlling video and audio generation requires diverse modalities, from depth and pose to camera trajectories and audio transformations, yet existing approaches either train a sin…

cs.LG2018★ 40 cited

Gaussian Mixture Generative Adversarial Networks for Diverse Datasets, and the Unsupervised Clustering of Images

Matan Ben-Yosef, Daphna Weinshall

Generative Adversarial Networks (GANs) have been shown to produce realistically looking synthetic images with remarkable success, yet their performance seems less impressive when t…