136 citations · 160 across the 18 of their papers we have counts for
4 papers · 1 filter
Model the Edit, Not the Image: Visual Autoregressive Editing from a Source-Centric Perspective
Hongyi Fang, Chuwen Xie, Benjia Zhou +6
Next-scale visual autoregressive models (VARs) have emerged as a powerful generative paradigm, producing high-quality images through efficient coarse-to-fine prediction. However, t…
PatchHead: Learning Spatial Patch Evidence for Generalizable AI-Generated Image Detection
Shengbo Qi, Hongyi Fang, Benjia Zhou +1
AI-generated image detectors generalize poorly when their training and test images originate from different generators or datasets. Despite the rich spatial representations produce…
Detail Continuation over a Trustworthy Coarse Scale for Autoregressive Super-Resolution
Hongyi Fang, Jiahui Wu, Yichen Yue +2
Hallucination remains a persistent challenge in generative super-resolution (GSR), where reconstructed results may contain visually plausible yet weakly supported content, structur…
Human4K: A Large-Scale 4K Multi-View Mocap Dataset for Whole-Body 3D Human Reconstruction
Tianshun Han, Ziyu Shi, Lijian Liu +7
Recent advances in 3D human reconstruction have improved overall performance, yet current models still fail in the most challenging real-world scenarios. They often produce unstabl…