8 citations · 16 across the 22 of their papers we have counts for
Showing cs.CVShow all
3 papers · 1 filter
cs.CV2026
AdaLoop: Thinking with the Vision Encoder
Xinran Nicole Han, Yiyang Lu, Katelyn Gan +1
Most vision-language models (VLMs) treat the vision encoder as a static feature extractor: it encodes an image once, independently of the question, and leaves subsequent reasoning…
cs.CV2026★ 1 cited
One-step Latent-free Image Generation with Pixel Mean Flows
Yiyang Lu, Susie Lu, Qiao Sun +6
Modern diffusion/flow-based models for image generation typically exhibit two core characteristics: (i) using multi-step sampling, and (ii) operating in a latent space. Recent adva…
cs.CV2025
Improved Mean Flows: On the Challenges of Fastforward Generative Models
Zhengyang Geng, Yiyang Lu, Zongze Wu +3
MeanFlow (MF) has recently been established as a framework for one-step generative modeling. However, its ``fastforward'' nature introduces key challenges in both the training obje…