Text-guided image manipulation
WebPytorch implementation for ManiGAN: Text-Guided Image Manipulation. The goal is to semantically edit parts of an image according to the given text while preserving text … Web26 Nov 2024 · We tackle the problem of target-free text-guided image manipulation, which requires one to modify the input reference image based on the given text instruction, …
Text-guided image manipulation
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Web31 Mar 2024 · We first introduce an optimization scheme that utilizes a CLIP-based loss to modify an input latent vector in response to a user-provided text prompt. Next, we describe a latent mapper that... Webimage manipulation algorithm. To demonstrate the effectiveness of our method, we conduct several theoretical and empirical studies. As a case study, we utilize the method for text-guided semantic face editing. We quantitatively and qualitatively demonstrate that PAE facilitates a more disentangled,
Web9 Apr 2024 · In this work, we propose a native skeleton-guided diffusion model for controllable HIG called HumanSD. Instead of performing image editing with dual-branch diffusion, we fine-tune the original SD model using a novel heatmap-guided denoising loss. This strategy effectively and efficiently strengthens the given skeleton condition during … Web12 Dec 2024 · To achieve this, we propose a novel generative adversarial network (ManiGAN), which contains two key components: text-image affine combination module (ACM) and detail correction module (DCM)....
Web22 Feb 2024 · Existing text-guided image manipulation methods aim to modify the appearance of the image or to edit a few objects in a virtual or simple scenario, which is … Web12 Dec 2024 · To achieve this, we propose a novel generative adversarial network (ManiGAN), which contains two key components: text-image affine combination module …
Web2 days ago · VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs. We propose , a spatiotemporally continuous disentangled eo representation based upon GAN and Neural- s. Effective traversal of the latent space learned by Generative Adversarial Networks (GANs) has been the basis for recent breakthroughs in image editing.
WebThe existing face image completion approaches cannot be utilized to rationally complete damaged face images where their identity information is completely lost due to being obscured by center masks. Hence, in this paper, a reference-guided double-pipeline face image completion network (RG-DP-FICN) is designed within the framework of the … sonic green hill themeWebRecently, GAN inversion methods combined with Contrastive Language-Image Pretraining (CLIP) enables zero-shot image manipulation guided by text prompts. However, their … sonic gt camera spinningWebText is a new way to guide human image manipulation. Albeit natural and flexible, text usually suffers from inaccuracy in spatial description, ambiguity in the description of … small house lightingWeb6 Oct 2024 · Here, we present a novel DiffusionCLIP which performs text-driven image manipulation with diffusion models using Contrastive Language-Image Pre-training (CLIP) loss. Our method has a performance comparable to that of the modern GAN-based image processing methods for in and out-of-domain image processing tasks, with the advantage … small house legoPapersize/Layout Problems: Margins are Different and/or Text is Truncated Using … sonic grilled cheese toaster caloriesWebText-Guided Image Manipulation Based on Sentence-Aware and Word-Aware Network Abstract: Published in: 2024 IEEE International Conference on Multimedia and Expo (ICME) Article #: Date of Conference: 18-22 July 2024 Date Added to IEEE Xplore: 26 August 2024 ISBN Information: Electronic ISBN: 978-1-6654-8563-0 small house living canadaWeb29 Nov 2024 · We achieve our goal by leveraging and combining a pretrained language-image model (CLIP), to steer the edit towards a user-provided text prompt, with a denoising diffusion probabilistic model (DDPM) to generate natural-looking results. small house makeover interior wall