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cs.CV2026

Blame Errant Words, Not the Canvas: Defect-Aware Spatial Credit Assignment for Visual Text Generation

Sujie Hu, Huaisong Zhang, Pujing Yang +7

Recent reinforcement learning approaches have improved visual text generation, yet generated images still suffer from incorrect wording and malformed glyphs. We identify two couple…

cs.CV2026

All-in-One Multilingual Scene Text Recognition with Script-aware Mixture-of-Experts

Xingsong Ye, Yongkun Du, Jiaxin Zhang +6

Multilingual scene text recognition (STR) remains challenging due to the scarcity of training data for most languages and the difficulty of serving diverse scripts within a single…

cs.CV2026

Loopy: Seamless Video Loop Generation via Anchored Looping Shift of Positional Embedding

Haotian Dong, Wenjing Wang, Chen Li +3

Looping videos are essential for practical applications such as web graphics, game development, and social media. However, existing approaches typically fail to generate high-quali…

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

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

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

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

StableWorld: Towards Stable and Consistent Long Interactive Video Generation

Ying Yang, Zhengyao Lv, Yujia Zeng +9

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…