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Matching papers

LLaDA-Image: Building Strong Image Generators with Fully Open Training Recipes

227 upvotes · 3 SEP 2026 · Chuyan Chen, Haoxing Chen, Kun Chen et al.

This paper introduces a new framework for building strong image generators that can produce highly photorealistic images while accurately following editing instructions. Practitioners might care about the potential applications of this framework in fields like computer vision, graphics, and art.

image generationdiffusion modelstransformersvision-language understandingopen-source models

Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing

60 upvotes · 21 JUL 2026 · Xinjie Zhang, Peng Zhang, Shicheng Zheng et al.

This paper introduces Mage-Flow, a compact model for generating and editing high-resolution images, which can be trained efficiently and deployed on a single GPU. Practitioners might care about the potential applications of this model in interactive image editing and generation tasks.

image generationdiffusion-based modelsmultimodal transformersnative-resolution modelscontinual learningefficient deep learning