collaborators

10 papers

cs.CV2026

FAIL: Flow Matching Adversarial Imitation Learning for Image Generation

Yeyao Ma, Chen Li, Xiaosong Zhang +2

Post-training of flow matching models-aligning the output distribution with a high-quality target-is mathematically equivalent to imitation learning. While Supervised Fine-Tuning m…

cs.CV2026

Advancing WordArt-Oriented Scene Text Recognition: Datasets and Methods

Xingsong Ye, Yongkun Du, Jiaxin Zhang +5

WordArt (artistic text) features highly customized fonts, textures, and layouts, making WordArt-oriented scene TExt Recognition (WATER) substantially more challenging than general…

cs.CV2026

WeGenBench: A Multidimensional Diagnostic Benchmark towards Text-to-Image Model Optimization

Qian Liang, Xiaomin Li, Ying Zhang +6

Recent text-to-image generation models have demonstrated remarkable capabilities in synthesizing highly realistic images from text inputs alone. Although existing benchmarks can ev…

cs.CV2026

FireRed-Image-Edit-1.0 Technical Report

Super Intelligence Team, Changhao Qiao, Chao Hui +16

We present FireRed-Image-Edit, a diffusion transformer for instruction-based image editing that achieves state-of-the-art performance through systematic optimization of data curati…

cs.CV2026

What Is Wrong with Synthetic Data for Scene Text Recognition? A Strong Synthetic Engine with Diverse Simulations and Self-Evolution

Xingsong Ye, Yongkun Du, JiaXin Zhang +3

Large-scale and categorical-balanced text data is essential for training effective Scene Text Recognition (STR) models, which is hard to achieve when collecting real data. Syntheti…

cs.CV2026

StableWorld: Towards Stable and Consistent Long Interactive Video Generation

Ying Yang, Zhengyao Lv, Tianlin Pan +6

In this paper, we explore the overlooked challenge of stability and temporal consistency in interactive video generation, which synthesizes dynamic and controllable video worlds th…