5 papers
TextVerifier: Seeing Beyond Recognition to Verify Chinese Text Rendering
Yiyang Chen, Guo-Hua Wang, Yaoli Liu +4
Text-to-image models increasingly generate readable Chinese text that still contains local rendering defects, such as a character with an extra or missing stroke or a malformed com…
Efficient Scene-Text Refinement via Pixel-Space Grouped Image Generation
Yaoli Liu, Guo-Hua Wang, Yiyang Chen +4
Generated images often have coherent layouts and visual content, yet local errors in small text and complex characters still limit their readability and practical use. Scene-text r…
The Consistency Critic: Correcting Inconsistencies in Generated Images via Reference-Guided Attentive Alignment
Ziheng Ouyang, Yiren Song, Yaoli Liu +4
Previous works have explored various customized generation tasks given a reference image, but they still face limitations in generating consistent fine-grained details. In this pap…
OmniRefiner: Reinforcement-Guided Local Diffusion Refinement
Yaoli Liu, Ziheng Ouyang, Shengtao Lou +1
Reference-guided image generation has progressed rapidly, yet current diffusion models still struggle to preserve fine-grained visual details when refining a generated image using…
3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities
Yanqi Bao, Tianyu Ding, Jing Huo +5
3D Gaussian Splatting (3DGS) has emerged as a prominent technique with the potential to become a mainstream method for 3D representations. It can effectively transform multi-view i…