We propose an interactive image-manipulation system with natural language
instruction, which can generate a target image from a source image and an
instruction that describes the difference between the source and the target
image. The system makes it possible to modify a generated image interactively
and make natural language conditioned image generation more controllable. We
construct a neural network that handles image vectors in latent space to
transform the source vector to the target vector by using the vector of
instruction. The experimental results indicate that the proposed framework
successfully generates the target image by using a source image and an
instruction on manipulation in our dataset.

本论文提出了能够通过自然语言指令生成目标图像的交互式图像处理系统，使用了神经网络处理潜在空间中的图像向量将源向量转换为目标向量，成功地在我们的数据集中利用源图像和操作指令生成目标图像，从而实现更可控、更实用的自然语言条件下的图像生成。