Robert Birke

Generative Models · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 11 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Robert Birke trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Tero Karras

Papers from Robert Birke's perspective

Ordered by how strongly the researchers Robert Birke trusts endorse each paper. Same corpus, a different order for every researcher.

1. GENERATIVE ADVERSARIAL NETS
2. Improved Training of Wasserstein GANs
3. Deep Learning
4. Conditional Image Synthesis with Auxiliary Classifier GANs
5. Wasserstein Generative Adversarial Networks
6. A Style-Based Generator Architecture for Generative Adversarial Networks
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. The Cramer Distance as a Solution to Biased Wasserstein Gradients
9. Analyzing and Improving the Image Quality of StyleGAN
10. PacGAN: The Power of Two Samples in Generative Adversarial Networks

Their papers

• CTAB-GAN: Effective Table Data Synthesizing (2021) — 328 citations