因为这种 inversion-free 的性质,作者称这种方法为虚拟反演(Virtual Inversion),其算法如下: DDCM 虚拟反演采样 DDCM 进行 Inversion-free 的图像编辑 DDCM 引入了一个无须反演的 Inversion-Free Image Editing(InfEdit)框架。该框架也采用双分支的结构。不同于此前的 Inversion-based 图像编辑方法在源分支和目标分支...
在论文 Prompt Tuning Inversion for Text-Driven Image Editing Using Diffusion Models[2]中也分析了 \omega 对DDIM Inversion 重建的影响: 不同w 的重建结果 设DDIM Inversion 即式 (2) 为编码过程,采用 \omega_{\text{enc}},DDIM Sampling 即式 (1) 为解码过程,采用 \omega_{\text{dec}} ,论文进一步...
High-Fidelity GAN Inversion for Image Attribute Editing. Tengfei Wang, Yong Zhang, Yanbo Fan, Jue Wang, Qifeng Chen. CVPR 2022. [PDF] [Project] [Code] HyperInverter: Improving StyleGAN Inversion via Hypernetwork. Tan M. Dinh, Anh Tuan Tran, Rang Nguyen, Binh-Son Hua. CVPR 2022. [PDF]...
内容提示: Null-text Inversion for Editing Real Images using Guided Diffusion ModelsRon Mokady *† 1,2 , Amir Hertz * † 1,2 , Kf ir Aberman 1 , Yael Pritch 1 , and Daniel Cohen-Or † 1,21 Google Research, 2 The Blavatnik School of Computer Science, Tel Aviv University“......
1. Introduction Generative Adversarial Networks (GANs) achieve im- pressive results on unconditional [13, 40, 14, 37] and condi- tional image generation [31, 9, 18], inpainting [36, 16, 42], and image editing tasks [1, 4, 8]. Traditionally, each of these tasks has been expl...
Imagic: Text-based real image editing with diffusion models. arXiv preprint arXiv:2210.09276, 2022. 2 10154 [27] Nicholas Kolkin, Jason Salavon, and Gregory Shakhnarovich. Style transfer by relaxed optimal trans- port and self-similarity. In IEEE/CVF Conference on Computer Vision a...
Combining them, we present inversion-free editing (InfEdit), which allows for consistent and faithful editing for both rigid and non-rigid semantic changes, catering to intricate modifications without compromising on the image's integrity and explicit inversion. Through extensive experiments, InfEdit ...
Despite their robust generative capabilities, these models often struggle with inversion inaccuracies, which could further limit their effectiveness in downstream tasks such as image and video editing. To address this issue, we propose RF-Solver, a novel training-free sampler that effectively enhances ...
image of our method. For example, we can change the color of a specific object while preserving its original shape and background under the guidance of only a target text prompt. Extensive experiments on ImageNet demonstrate the superior editing performance of our method compared to the state-...
Null-text Inversion for Editing Real Images Using Guided Diffusion Models 1. 理解Null-text Inversion的概念及其在图像编辑中的应用 Null-text Inversion是一种精确的反转技术,旨在将真实图像反转(或映射)到预训练的扩散模型的潜在空间中,从而允许基于文本的图像编辑。这种技术结合了扩散模型的关键反转和空文本(Null...