UniReason is a single, unified model that plans with world knowledge before making an image and then edits its own result to fix mistakes, like a student drafting and revising an essay.
PromptRL teaches a language model to rewrite prompts while a flow-based image model learns to draw, and both are trained together using the same rewards.
Alterbute is a diffusion-based method that changes an object's intrinsic attributes (color, texture, material, shape) in a photo while keeping the object's identity and the scene intact.
Unified Thinker separates “thinking” (planning) from “drawing” (image generation) so complex instructions get turned into clear, doable steps before any pixels are painted.
ProEdit is a training-free, plug-and-play method that fixes a common problem in image and video editing: the model clings too hard to the original picture and refuses to change what you asked for.
ShowTable is a new way for AI to turn a data table into a beautiful, accurate infographic using a think–make–check–fix loop.
LongCat-Image is a small (6B) but mighty bilingual image generator that turns text into high-quality, realistic pictures and can also edit images very well.
EMMA is a single AI model that can understand images, write about them, create new images from text, and edit images—all in one unified system.
This paper teaches image models to keep things consistent across multiple pictures—like the same character, art style, and story logic—using reinforcement learning (RL).