STAR: Scale-wise Text-to-image generation via Auto-Regressive representations

Xiaoxiao Ma, Mohan Zhou, Tao Liang, Yalong Bai, Tiejun Zhao, Huaian Chen, Yi Jin

Project

• STAR is a novel scale-wise text-to-image model that is effective and efficient in performance
• Notably, STAR shows efficiency by requiring 2.95s to generate 512×512 images (compared to 6.48s for PixArt-α)

Masked Pre-trained Model Enables Universal Zero-shot Denoiser

Xiaoxiao Ma, Zhixiang Wei, Yi Jin, Pengyang Ling, Tianle Liu, Ben Wang, Junkang Dai, Huaian Chen, Enhong Chen

Project

• MPI is a zero-shot denoising pipeline designed for many types of noise degradations
• Only around 10s takes for a MPI to denoise on single noisy image

Stronger, Fewer, \& Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation

Zhixiang Wei, Lin Chen, Yi Jin*, Xiaoxiao Ma, Tianle Liu, Pengyang Ling, Ben Wang, Huaian Chen, Jinjin Zheng

Project

• Rein is a PEFT framework based on vision foundation models for domain generalized semantic segmentation (DGSS) with merely 1% trainable parameters