While previous research has primarily focused on improving the control of image generation through adjusting the denoising process, we propose a novel direction of manipulating the initial noise to control the generated image. Through experiments on stable diffusion, we show that blocks of pixels in ...
1. Introduction Layout-to-image synthesis (LIS) is one of the prevailing topics in the research of conditional image generation. It aims to generate complex scenes where a user requires fine controls over the objects appearing in a scene. There are different types of layouts including bboxes+...
Paper:[1801.05091] Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis 内容来自:通过推测语义布局,层级形式文本到图像的合成《Inferring Semantic Layout for Hierarchical Text-to-image …
Layout-to-Image Synthesis (LIS) To generate images under the traditional LIS setting, run: python scripts/LIS.py --batch_size 8 --config /path/to/config --ckpt /path/to/trained_model --dataset <dataset name> --outdir /path/to/output --txt_file /path/to/dataset/with/val.txt --data...
Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis 摘要 本文提出了一种基于语义布局的层次化文本图像合成方法。该算法不是学习从文本到图像的直接映射,而是将生成过程分解为多个步骤,首先通过布局生成器从文本中构造语义布局,然后通过图像生成器将布局转换为图像。所提出的布局生成器通过生成对象边界框并...
image synthesis aims at generating photorealistic images from semanticlayouts. Previous approaches with conditional generative adversarial networks(GAN) show state-of-the-art performance on this task, which either feed the seman-tic label maps as inputs to the generator, or use them to modulate the...
内容提示: Learning to Predict Layout-to-image ConditionalConvolutions for Semantic Image SynthesisXihui LiuThe Chinese University of Hong Kongxihuiliu@ee.cuhk.edu.hkGuojun YinUniversity of Science and Technology of Chinagjyin91@gmail.comJing ShaoSenseTime Researchshaojing@sensetime.comXiaogang WangThe...
(2017). Scribbler: Controlling deep image synthesis with sketch and color. In The IEEE conference on computer vision and pattern recognition (CVPR) Sharma, S., Suhubdy, D., Michalski, V., Kahou, S. E., & Bengio, Y. (2018). ChatPainter: Improving text to image generation using ...
对抗生成网络-文字到图片的合成Generative Adversarial Text to Image Synthesis,之前的一篇论文所提到的loss方法,判别器中的输入对除了有对生成图质量的考量——<假图,描述>和<真图,描述>外,添加第三种对文字与图片的匹配度考量——即<真图,不匹配描述> ,这篇论文同样从这个角度出发。
and virtual worlds: Given an input image of an interior or exterior space, and a general user specification of the desired furnishings and layout constraints, our method automatically furnishes the scene with a realistic arrangement and displays it to the user by augmenting the original image. Our...