Image Editing - Groups

Paint by Word

Paint by word dataset, a human-AI collaborative task which enables a user to edit a generated image by painting a semantic modification specified by any text description, to any...

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Deep Saliency Prior for Reducing Visual Distraction

A dataset of images used to evaluate the proposed method for reducing visual distraction in images.

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SemanticGAN

SemanticGAN uses a dataset of real images and their corresponding semantic segmentation masks.

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DatasetGAN

DatasetGAN uses a dataset of real images and their corresponding semantic segmentation masks.

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EditGAN

EditGAN uses StyleGAN2 as a backbone generative model of images. The dataset used for training the segmentation branch is a dataset of image-segmentation mask pairs.

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InstructPix2Pix

InstructPix2Pix is a model for image editing tasks, including removing objects from images.

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Visual ChatGPT

Visual ChatGPT is a system that integrates different Visual Foundation Models to understand visual information and generation corresponding answers.

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HIVE: Harnessing Human Feedback for Instructional Visual Editing

The dataset used in the paper Harnessing Human Feedback for Instructional Visual Editing (HIVE) for instructional visual editing.

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MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating th...

Text-guided image editing using diffusion models

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User-Controllable Latent Transformer for StyleGAN Image Layout Editing

The dataset used in the paper for user-controllable latent code transformation for StyleGAN image layout editing.

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Paciﬁc Graphics 2022

The dataset used in the paper for user-controllable latent code transformation for StyleGAN image layout editing.

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Zero-shot semantic image editing dataset

The zero-shot semantic image editing dataset, which consists of a set of 150 tuples, each containing a source image, a source text, and a target text.

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Stable Diffusion Model (SDM) v1.5

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the Stable Diffusion Model (SDM) v1.5.

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TEDBench

A benchmark dataset for text-to-image diffusion models.

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LASPA: Latent Spatial Alignment for Fast Training-free Single Image Editing

A novel framework for single-image editing using pre-trained text-to-image diffusion models.

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MAGIC

The MAGIC dataset is a multiclass classification dataset containing 19020 samples, each described by 10 features.

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MM-Inst

The dataset used for training the InstructAny2Pix model, containing 500k instructions with multi-modal inputs.

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Quantitative Evaluation Dataset

A dataset comprising 3000 images for quantitative evaluation of specified region customization with both text and image inputs.

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Instruct-Video2Avatar

Given a short monocular RGB video and text instructions, our method uses an image-conditioned diffusion model to edit one head image and uses the video stylization method to...

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Region-Aware Diffusion for Zero-Shot Text-Driven Image Editing

The Region-Aware Diffusion for Zero-Shot Text-Driven Image Editing dataset is used to evaluate the ability of models to edit images based on text descriptions.

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45 datasets found