3 citations · 11 across the 10 of their papers we have counts for
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eess.IV2020★ 2 cited
not-so-BigGAN: Generating High-Fidelity Images on Small Compute with Wavelet-based Super-Resolution
Seungwook Han, Akash Srivastava, Cole Hurwitz +2
State-of-the-art models for high-resolution image generation, such as BigGAN and VQVAE-2, require an incredible amount of compute resources and/or time (512 TPU-v3 cores) to train,…
cs.CV2020
PathGAN: Local Path Planning with Attentive Generative Adversarial Networks
Dooseop Choi, Seung-jun Han, Kyoungwook Min +1
To achieve autonomous driving without high-definition maps, we present a model capable of generating multiple plausible paths from egocentric images for autonomous vehicles. Our ge…