activity
20212026
most citedStructure-aware Image Inpainting with Two Parallel Streams

2 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2026

Learning from Your Own Mistakes: Constructing Learnable Micro-Reflective Trajectories for Self-Distillation

Zhilin Huang, Hang Gao, Ziqiang Dong +6

Self-distillation improves reasoning in large language models by using the model's own rollouts as training signal, typically through implicit logit-level alignment that minimizes…

cs.CV2025

Edit as You See: Image-guided Video Editing via Masked Motion Modeling

Zhi-Lin Huang, Yixuan Liu, Chujun Qin +4

Recent advancements in diffusion models have significantly facilitated text-guided video editing. However, there is a relative scarcity of research on image-guided video editing, a…

cs.CV2024

Bilateral Event Mining and Complementary for Event Stream Super-Resolution

Zhilin Huang, Quanmin Liang, Yijie Yu +5

Event Stream Super-Resolution (ESR) aims to address the challenge of insufficient spatial resolution in event streams, which holds great significance for the application of event c…

cs.CV2024

Motion-aware Latent Diffusion Models for Video Frame Interpolation

Zhilin Huang, Yijie Yu, Ling Yang +6

With the advancement of AIGC, video frame interpolation (VFI) has become a crucial component in existing video generation frameworks, attracting widespread research interest. For t…

cs.CV2022

Region-aware Attention for Image Inpainting

Zhilin Huang, Chujun Qin, Zhenyu Weng +1

Recent attention-based image inpainting methods have made inspiring progress by modeling long-range dependencies within a single image. However, they tend to generate blurry conten…

cs.CV2021★ 2 cited

Structure-aware Image Inpainting with Two Parallel Streams

Zhilin Huang, Chujun Qin, Ruixin Liu +2

Recent works in image inpainting have shown that structural information plays an important role in recovering visually pleasing results. In this paper, we propose an end-to-end arc…