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20242026
most citedGPT-ImgEval: A Comprehensive Benchmark for Diagnosing GPT4o in Image Generation

2 citations · 3 across the 22 of their papers we have counts for

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7 papers · 1 filter

cs.CV2024

Where am I? Cross-View Geo-localization with Natural Language Descriptions

Junyan Ye, Honglin Lin, Leyan Ou +5

Cross-view geo-localization identifies the locations of street-view images by matching them with geo-tagged satellite images or OSM. However, most existing studies focus on image-t…

cs.CV2024★ 1 cited

LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models

Junyan Ye, Baichuan Zhou, Zilong Huang +12

With the rapid development of AI-generated content, the future internet may be inundated with synthetic data, making the discrimination of authentic and credible multimodal data in…

cs.CV2024

CrossViewDiff: A Cross-View Diffusion Model for Satellite-to-Street View Synthesis

Weijia Li, Jun He, Junyan Ye +5

Satellite-to-street view synthesis aims at generating a realistic street-view image from its corresponding satellite-view image. Although stable diffusion models have exhibit remar…

cs.CV2024

Cross-view image geo-localization with Panorama-BEV Co-Retrieval Network

Junyan Ye, Zhutao Lv, Weijia Li +4

Cross-view geolocalization identifies the geographic location of street view images by matching them with a georeferenced satellite database. Significant challenges arise due to th…

cs.CV2024

UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios

Baichuan Zhou, Haote Yang, Dairong Chen +7

Recent evaluations of Large Multimodal Models (LMMs) have explored their capabilities in various domains, with only few benchmarks specifically focusing on urban environments. More…

cs.CV2024

Leveraging BEV Paradigm for Ground-to-Aerial Image Synthesis

Junyan Ye, Jun He, Weijia Li +5

Ground-to-aerial image synthesis focuses on generating realistic aerial images from corresponding ground street view images while maintaining consistent content layout, simulating…

cs.CV2024

SG-BEV: Satellite-Guided BEV Fusion for Cross-View Semantic Segmentation

Junyan Ye, Qiyan Luo, Jinhua Yu +4

This paper aims at achieving fine-grained building attribute segmentation in a cross-view scenario, i.e., using satellite and street-view image pairs. The main challenge lies in ov…