2 citations · 3 across the 5 of their papers we have counts for
Showing 2026Show all
3 papers · 1 filter
cs.CV2026
Efficient and High-Quality Depth Estimation via Pixel-Space Diffusion with Linear Attention
Bingde Liu, Wu Ran, Jinglei Zhang +2
This work presents , a inear-ttention-based xel-pace generative framework that achieves efficient and high-fidelity…
cs.CV2026
MOSS-VL Technical Report
Pengyu Wang, Chenkun Tan, Shaojun Zhou +29
We present MOSS-VL, an open vision-language model family that treats real-time interaction -- perceiving while it speaks -- as a first-class capability. It is co-designed across th…
cs.CV2026
Guiding a Diffusion Model by Swapping Its Tokens
Weijia Zhang, Yuehao Liu, Shanyan Guan +4
Classifier-Free Guidance (CFG) is a widely used inference-time technique to boost the image quality of diffusion models. Yet, its reliance on text conditions prevents its use in un…