autoregressive generation 1garment detail restoration 1latent-space synthesis 1pixel-space refinement 1virtual try-on 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CV2026
Structure-Detail Decoupled Autoregressive Generation for Fast and High-Fidelity Virtual Try-On
Lu Yang, Xiaonan Hu, Yanan Li +3
The paper introduces STAR-VTON, a two‑stage autoregressive framework for virtual try‑on that generates garment structure in a latent space and then refines fine‑grained details in…
cs.CV2026
Crowded Video Individual Counting Informed by Social Grouping and Spatial-Temporal Displacement Priors
Hao Lu, Xuhui Zhu, Wenjing Zhang +2
Video Individual Counting (VIC) is a recently introduced task aiming to estimate pedestrian flux from a video. It extends Video Crowd Counting (VCC) beyond the per-frame pedestrian…
cs.CV2025
FitControler: Toward Fit-Aware Virtual Try-On
Lu Yang, Yicheng Liu, Yanan Li +2
Realistic virtual try-on (VTON) concerns not only faithful rendering of garment details but also coordination of the style. Prior art typically pursues the former, but neglects a k…