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20212026
most citedGPT-ImgEval: A Comprehensive Benchmark for Diagnosing GPT4o in Image Generation

2 citations · 4 across the 16 of their papers we have counts for

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8 papers · 1 filter

cs.CV2025

RealGen: Photorealistic Text-to-Image Generation via Detector-Guided Rewards

Junyan Ye, Leiqi Zhu, Yuncheng Guo +7

With the continuous advancement of image generation technology, advanced models such as GPT-Image-1 and Qwen-Image have achieved remarkable text-to-image consistency and world know…

cs.CV2025

OmniAID: Decoupling Semantics and Artifacts for Universal AI-Generated Image Detection in the Wild

Yuncheng Guo, Junyan Ye, Chenjue Zhang +4

A truly universal AI-Generated Image (AIGI) detector must simultaneously generalize across diverse generative models and varied semantic content. Current methods learn a single, en…

cs.CV2025

BLINK-Twice: You see, but do you observe? A Reasoning Benchmark on Visual Perception

Junyan Ye, Dongzhi Jiang, Jun He +6

Recently, Multimodal Large Language Models (MLLMs) have made rapid progress, particularly in enhancing their reasoning capabilities. However, existing reasoning benchmarks still pr…

cs.CV2025

Earth-Agent: Unlocking the Full Landscape of Earth Observation with Agents

Peilin Feng, Zhutao Lv, Junyan Ye +8

Earth observation (EO) is essential for understanding the evolving states of the Earth system. Although recent MLLMs have advanced EO research, they still lack the capability to ta…

cs.CV2025

Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation

Junyan Ye, Dongzhi Jiang, Zihao Wang +9

Recently, GPT-4o has garnered significant attention for its strong performance in image generation, yet open-source models still lag behind. Several studies have explored distillin…

cs.CV2025★ 2 cited

GPT-ImgEval: A Comprehensive Benchmark for Diagnosing GPT4o in Image Generation

Zhiyuan Yan, Junyan Ye, Weijia Li +7

The recent breakthroughs in OpenAI's GPT4o model have demonstrated surprisingly good capabilities in image generation and editing, resulting in significant excitement in the commun…

cs.CV2025

LEGION: Learning to Ground and Explain for Synthetic Image Detection

Hengrui Kang, Siwei Wen, Zichen Wen +8

The rapid advancements in generative technology have emerged as a double-edged sword. While offering powerful tools that enhance convenience, they also pose significant social conc…

cs.CV2025

Spot the Fake: Large Multimodal Model-Based Synthetic Image Detection with Artifact Explanation

Siwei Wen, Junyan Ye, Peilin Feng +7

With the rapid advancement of Artificial Intelligence Generated Content (AIGC) technologies, synthetic images have become increasingly prevalent in everyday life, posing new challe…