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2020
梯度消失和梯度爆炸
11-15
最大似然估计、最大后验估计以及贝叶斯公式的理解
11-15
学习率的调整
11-15
各种激活函数
11-15
可控人物图像生成综述
11-15
卷积神经网络的特点
11-15
卷积核类型简介
11-15
关于深度生成模型的再次思考
11-15
余弦距离
11-15
仿射变换以及TPS
11-15
“什么是双线性插值"
11-15
Your local GAN
11-15
Unsupervised Pose Flow Learning for Pose Guided Synthesis
11-15
Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content
11-15
Towards Multi-pose Guided Virtual Try-on Network
11-15
The Contextual Loss for Image Transformation with Non-Aligned Data
11-15
SwapNet: Image Based Garment Transfer
11-15
STN的理解
11-15
SSIM，IS等生成图像评价指标
11-15
Soft-GatedWarping-GAN for Pose-Guided Person Image Synthesis
11-15
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