从文章的标题就可以看出,本文主要实现了用于语义图像生成的Diffusion模型。 1. Introduction 本文的主要贡献: 1. 本文基于DDPM,提出了一种新的用于生成高保真度和多样性的语义图像的Diffusion模型,称作Semantic Diffusion Model(SDM)。 2. 现有的条件Diffusion模型不能很好的处理带噪声的输入和语义的mask。本文提出了一种...
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To evaluate the model (e.g., ADE20K), first generate the test results: mpiexec -n 8 python image_sample.py --data_dir ./data/ade20k --dataset_mode ade20k --attention_resolutions 32,16,8 --diffusion_steps 1000 \ --image_size 256 --learn_sigma True --noise_schedule linear --num_...
论文官方githubgithub.com/yandex-research/ddpm-segmentation 这是我找到的近年第一篇甚至是唯一一篇在顶会上发布的有关于“Diffusion Model+representation learning”相关的文章。调研的其他会议ICLR2022、ICML2022、ECCV2022的diffusion相关内容可以参考我之前的文章: ICML 2022 Diffusion Model 个人总结 - 知乎 (zhihu...
(HS-Diffusion)which consists of a semantic-guided latent diffusion model (SG-LDM) and asemantic layout generator. We blend the semantic layouts of source head andsource body, and then inpaint the transition region by the semantic layoutgenerator, achieving a coarse-grained head swapping. SG-LDM...
If you intend to train models with refinement, ensure that you have trained or downloaded diffusion model weights and the PraNet weights. Specify the ckpt_path and pranet_path in the ArSDM_xxx.yaml config file. For example, if you want to train models with adaptive loss and refinement (ArS...
Denoising diffusion probabilistic models have recently received much research attention since they outperform alternative approaches, such as GANs, and currently provide state-of-the-art generative performance. The superior performance of diffusion models has made them an appealing tool in several application...
Notably, our method requires no additional training or fine-tuning and serves as a plug-in module on a model. Hence, the generation capacity of the original model is fully preserved. We compare our approach with alternative approaches across various datasets, evaluation metrics, and diffusion ...
This paper studies the implicit structures and the diffusion modes of semantic prosody on the dependency networks of some English words such as cause and their Chinese equivalents. It is found that the structure of semantic prosody is a bi-stratified net
As shown in Fig.1, the whole experiment process is divided into two stages: pre-training and pixel classification. As shown in the left part of Fig.1, during the pre-training phase, we input the image into the diffusion model. The diffusion model will degrade and reconstruct the image and...