Diffusion Guidance 在文章[5]中,提出了使用 guided diffusion model 来生成固定类别的图像,使用 score-based diffusion model 语言来讲,就是使用一个分数网络来预测 ∇xtlogp(xt|c),c 表示类别信息。使用贝叶斯法则我们有: ∇xtlogp(xt|c)=∇xtlogp(xt)+∇xtlogp(c|xt) 。文章[6...
Our framework is built upon diffusion models, leveraging the principle of guided sampling that incorporates an arbitrary energy-based guidance during inference time. The key defining feature of our sampler lies in its self-contained nature, i.e ., implementable solely with a pretrained model. This...
GLIDE: Towards Photorealistic Image Generation and Editing with Text-guided Diffusion Models (arXiv) 利用文本引导的扩散模型生成和编辑图像 需要额外的掩码来编辑图像的局部区域 提出了mutual self-attention机制,无需额外掩码即可实现复杂非刚性编辑 解决了需要额外掩码才能进行局部编辑的问题 Prompt-to-prompt Image...
In this work, we propose Self-Adaptive Reality-Guided Diffusion (SARGD), a training-free method that delves into the latent space to effectively identify and mitigate the propagation of artifacts. Our SARGD begins by using an artifact detector to identify implausible pixels, creating a binary ...
To gain insight from our exploration of the self-attention maps of diffusion models and for detailed explanations, please see our Paper and Project Page. This repository is based on openai/guided-diffusion, and we modified feature extraction code from yandex-research/ddpm-segmentation to get the ...
Especially when studying spatiotemporal effects and macroscopic pattern formation, reaction–diffusion systems and their traveling waves have proven insightful. One of the oldest and most studied models is the FKPP-equation (Fisher1937; Kolmogorov et al.1937), describing the advance of an advantageous...
Feedback-guided StrategyLet's Verify Step by Step. arxiv, 2023. paper Hunter Lightman, Vineet Kosaraju, Yura Burda, Harri Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, Karl Cobbe Diffusion-LM Improves Controllable Text Generation. Advances in Neural Information ...
This paper investigates augmenting training data to improve the planning performance and generalizability of diffusion models in offline RL. AdaptDiffuser can generate amounts of synthetic expert da…
Meanwhile, some physical properties might also change such as vapor density, diffusion velocity and magnetic resonance behavior (18F showed no magnetic resonance signal). Scheme 1 Synthesis of LABO and 18F-LABO. LABO was synthesized from BODIPY derivative (BODIPY 3), and was condensed with 4-(...
Guidance serves as a key concept in diffusion models, yet its effectiveness is often limited by the need for extra data annotation or classifier pretraining. That is why guidance was harnessed from self-supervised learning backbones, like DINO. However, recent studies have revealed that the featur...