most citedQwen-Image Technical Report

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

RISER: Orchestrating Latent Reasoning Skills for Adaptive Activation Steering

Wencheng Ye, Xiaoyang Yuan, Yi Bin +4

Recent work on domain-specific reasoning with large language models (LLMs) often relies on training-intensive approaches that require parameter updates. While activation steering h…

cs.CV2025

LayoutAgent: A Vision-Language Agent Guided Compositional Diffusion for Spatial Layout Planning

Zezhong Fan, Xiaohan Li, Luyi Ma +6

Designing realistic multi-object scenes requires not only generating images, but also planning spatial layouts that respect semantic relations and physical plausibility. On one han…

cs.CV20252 cited

Qwen-Image Technical Report

Chenfei Wu, Jiahao Li, Jingren Zhou +36

We present Qwen-Image, an image generation foundation model in the Qwen series that achieves significant advances in complex text rendering and precise image editing. To address th…

cs.CV2025

SUDO: Enhancing Text-to-Image Diffusion Models with Self-Supervised Direct Preference Optimization

Liang Peng, Boxi Wu, Haoran Cheng +2

Previous text-to-image diffusion models typically employ supervised fine-tuning (SFT) to enhance pre-trained base models. However, this approach primarily minimizes the loss of mea…

cs.CV2025

Discriminator-Free Direct Preference Optimization for Video Diffusion

Haoran Cheng, Qide Dong, Liang Peng +7

Direct Preference Optimization (DPO), which aligns models with human preferences through win/lose data pairs, has achieved remarkable success in language and image generation. Howe…