Paper之BigGAN：ICLR 2019最新論文《LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS》論文研究中
Paper：ICLR 2019最新論文BigGAN《LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS》論文研究中 效果 1、炸天的效果(此部分引自量子位) 效果有多好？先看數字。經過ImageNet上進行128×128分辨率的訓練後，BigGAN的Inception Score（IS）得分是166.3，一
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相關文章
- 1. LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS
- 2. 飛槳論文復現之《LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS》
- 3. 飛槳PaddlePaddle論文復現：LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS
- 4. 【PaddlePaddle論文復現】LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS閱讀心得
- 5. bigGAN: LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS
- 6. Large scale GAN training for high fidelity natural image synthesis解讀
- 7. 【飛槳】學習論文復現，【Paddle Paddle】復現LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS
- 8. GAN 2019 論文整合（粗）
- 9. 2019-ICCV最佳論文-SinGAN: Learning a Generative Model from a Single Natural Image
- 10. GAN最全論文合集