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20242026
most citedLatentSync: Taming Audio-Conditioned Latent Diffusion Models for Lip Sync with SyncNet Supervision

3 citations · 7 across the 11 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.CV2025

FDP: A Frequency-Decomposition Preprocessing Pipeline for Unsupervised Anomaly Detection in Brain MRI

Hao Li, Zhenfeng Zhuang, Jingyu Lin +5

Due to the diversity of brain anatomy and the scarcity of annotated data, supervised anomaly detection for brain MRI remains challenging, driving the development of unsupervised an…

cs.CV2025

IdentityStory: Taming Your Identity-Preserving Generator for Human-Centric Story Generation

Donghao Zhou, Jingyu Lin, Guibao Shen +8

Recent visual generative models enable story generation with consistent characters from text, but human-centric story generation faces additional challenges, such as maintaining de…

cs.CV2025

SceneDecorator: Towards Scene-Oriented Story Generation with Scene Planning and Scene Consistency

Quanjian Song, Donghao Zhou, Jingyu Lin +5

Recent text-to-image models have revolutionized image generation, but they still struggle with maintaining concept consistency across generated images. While existing works focus o…

eess.IV2025

Seed3D 1.0: From Images to High-Fidelity Simulation-Ready 3D Assets

Jiashi Feng, Xiu Li, Jing Lin +25

Developing embodied AI agents requires scalable training environments that balance content diversity with physics accuracy. World simulators provide such environments but face dist…

cs.CV2025★ 1 cited

SDQM: Synthetic Data Quality Metric for Object Detection Dataset Evaluation

Ayush Zenith, Arnold Zumbrun, Neel Raut +1

The performance of machine learning models depends heavily on training data. The scarcity of large-scale, well-annotated datasets poses significant challenges in creating robust mo…

cs.CV2025

HERO: Hierarchical Extrapolation and Refresh for Efficient World Models

Quanjian Song, Xinyu Wang, Donghao Zhou +3

Generation-driven world models create immersive virtual environments but suffer slow inference due to the iterative nature of diffusion models. While recent advances have improved…

cs.CV2025

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results

Xiaohong Liu, Xiongkuo Min, Qiang Hu +92

This paper reports on the NTIRE 2025 XGC Quality Assessment Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) a…