17 datasets found

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

The dataset used for concept sliders, including Age, Surprise, and Hair sliders.

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.

The dataset used in the paper is not explicitly mentioned, but it is mentioned that the authors used real scenes and scenes from IN2N [9] and LLFF [29].

StyleCLIP-FEU uses FlickrFaces-HQ (FFHQ) as the image corpus I.

Towards multi-pose guided virtual try-on network.

Fashion image manipulation aims to generate high-resolution realistic fashion images with user-provided sketches and color strokes.

Editing-Mask dataset is used for semantic image editing task.

ImageNet and Imagen datasets are used for semantic image editing task.

ImageNet, Imagen and Editing-Mask datasets are used for semantic image editing task.

The Magicbrush dataset is an expertise-constructed dataset consisting of many couples of source and human-evaluated edited target images.

StyleBooth: Image Style Editing with Multimodal Instruction

Exemplar-based image editing with diffusion models

Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing

The dataset used in the paper for image editing tasks

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the DragBench dataset for evaluation.

PIE-Bench++ is a dataset for multi-aspect image editing. It contains 700 images with detailed text prompts and tailored to facilitate simultaneous edits across multiple image...