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20192026
most citedRGBD-GAN: Unsupervised 3D Representation Learning From Natural Image Datasets via RGBD Image Synthesis

15 citations · 32 across the 5 of their papers we have counts for

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cs.CV2019★ 15 cited

RGBD-GAN: Unsupervised 3D Representation Learning From Natural Image Datasets via RGBD Image Synthesis

Atsuhiro Noguchi, Tatsuya Harada

Understanding three-dimensional (3D) geometries from two-dimensional (2D) images without any labeled information is promising for understanding the real world without incurring ann…

cs.CV2019★ 15 cited

Image Generation From Small Datasets via Batch Statistics Adaptation

Atsuhiro Noguchi, Tatsuya Harada

Thanks to the recent development of deep generative models, it is becoming possible to generate high-quality images with both fidelity and diversity. However, the training of such…