Image Editing

CSGO can perform image-driven style transfer and text-driven stylized synthesis. It uses a large dataset with 210k image triplets to improve style control in image generation.

MagicFace can generate high-quality images of people in any style without needing extra training.

MagicFace can generate high-quality images of people in any style without needing training. It uses special attention methods for precise attribute alignment and feature injection, working for both single and multi-concept customization.

Generative Photomontage can combine parts of multiple AI-generated images using a brush tool. It enables the creation of new appearance combinations, correct shapes and artifacts, and improve prompt alignment, outperforming existing image blending methods.

Filtered Guided Diffusion shows that image-to-image translation and editing doesn’t necessarily require additional training. FGD simply applies a filter to the input of each diffusion step based on the output of the previous step in an adaptive manner which makes this approach easy to implement.

IPAdapter-Instruct can efficiently combine natural-image conditioning with “Instruct” prompts! It enables users to switch between various interpretations of the same image, such as style transfer and object extraction.

Magic Clothing can generate customized characters wearing specific garments from diverse text prompts while preserving the details of the target garments and maintain faithfulness to the text prompts.

Adobe’s Magic Fixup lets you edit images with a cut-and-paste approach that fixes edits automatically. Can see this being super useful for generating animation frames for tools like AnimateDiff. But it’s not clear yet if or when this hits Photoshop.

IMAGDressing-v1 can generate human try-on images from input garments. It is able to control different scenes through text and can be combined with IP-Adapter and ControlNet pose to enhance the diversity and controllability of generated images.

HumanRefiner can improve human hand and limb quality in images! The method is able to detect and correct issues related to both abnormal human poses.

PartCraft can generate customized and photorealistic virtual creatures by mixing visual parts from existing images. This tool allows users to create unique hybrids and make detailed changes, which is useful for digital asset creation and studying biodiversity.

MIGC++ is a plug-and-play controller that enables Stable Diffusion with precise position control while ensuring the correctness of various attributes like color, shape, material, texture, and style. It can also control the number of instances and improve interaction between instances.

Motion Prompting can control video generation using motion paths. It allows for camera control, motion transfer, and drag-based image editing, producing realistic movements and physics.

StyleShot can mimic and style transfer various styles from an image, such as 3D, flat, abstract or even fine-grained styles, without tuning.

iCD can be used for zero-shot text-guided image editing with diffusion models. The method is able to encode real images into their latent space in only 3-4 inference steps and can then be used to edit the image with a text prompt.

Glyph-ByT5-v2 is a new SDXL model that can generate high-quality visual layouts with text in 10 different languages.

HairFastGAN can transfer hairstyles from one image to another in near real-time. It handles different poses and colors well, achieving high quality in under a second on an Nvidia V100.

EditWorld can simulate world dynamics and edit images based on instructions that are grounded in various world scenarios. The method is able to add, replace, delete, and move objects in images, as well as change their attributes and perform other operations.

RectifID is yet another personalization method from user-provided reference images of human faces, live subjects, and certain objects for diffusion models.

Face Adapter is a new face swapping method that can generate facial detail and handle face shape changes with fine-grained control over attributes like identity, pose, and expression.