activity
20192026
most citedGenerative Latent Flow

18 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

S3VD: Semantic-Guidance Spatio-Temporal Scanning for Video Deraining

Kui Jiang, Yiang Chen, Yan Luo +3

Heavy rainfall severely degrades outdoor videos by corrupting high-frequency details and introducing motion blur, critically undermining the reliability of visual tasks. Recently,…

cs.CV2026

NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results

Xin Li, Yeying Jin, Suhang Yao +95

This paper presents an overview of the NTIRE 2026 Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images. Building upon the success of the first edition, this c…

cs.CV2026

NTIRE 2026 Challenge on Single Image Reflection Removal in the Wild: Datasets, Results, and Methods

Jie Cai, Kangning Yang, Zhiyuan Li +50

In this paper, we review the NTIRE 2026 challenge on single-image reflection removal (SIRR) in the wild. SIRR is a fundamental task in image restoration. Despite progress in academ…

cs.CV2025

NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Results

Zheng Chen, Jingkai Wang, Kai Liu +51

This paper provides a review of the NTIRE 2025 challenge on real-world face restoration, highlighting the proposed solutions and the resulting outcomes. The challenge focuses on ge…

cs.CV2019★ 18 cited

Generative Latent Flow

Zhisheng Xiao, Qing Yan, Yali Amit

In this work, we propose the Generative Latent Flow (GLF), an algorithm for generative modeling of the data distribution. GLF uses an Auto-encoder (AE) to learn latent representati…