Deep reinforcement learning for image-to-image translation
Most existing Image-to-Image Translation (I2IT) methods generate images in a single run of
a deep learning (DL) model. However, designing such a single-step model is always …
a deep learning (DL) model. However, designing such a single-step model is always …
[PDF][PDF] Learning Object Consistency and Interaction in Image Generation from Scene Graphs.
This paper is concerned with synthesizing images conditioned on a scene graph (SG), a set
of object nodes and their edges of interactive relations. We divide existing works into image …
of object nodes and their edges of interactive relations. We divide existing works into image …
Controlling neural style transfer with deep reinforcement learning
Controlling the degree of stylization in the Neural Style Transfer (NST) is a little tricky since it
usually needs hand-engineering on hyper-parameters. In this paper, we propose the first …
usually needs hand-engineering on hyper-parameters. In this paper, we propose the first …