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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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6 papers · 1 filter

cs.CV2026

Editable Visual Design

Junyan Ye, Wei Liu, Dongzhi Jiang +9

While diffusion base models such as GPT-Image-2 and Nano-Banana exhibit remarkable visual expressiveness, their end-to-end generation inherently yields flattened bitmaps with error…

cs.CV2026

One Query, Many Scales: Sparse Mixture-of-Experts for Efficient Hierarchical Cross-View Geo-Localization

Ruijie Fan, Junyan Ye, Qi Zhu +1

Cross-view geo-localization (CVGL) retrieves geo-tagged satellite imagery for a ground-view query. Most systems exhaustively search a flat, fixed-resolution gallery, incurring high…

cs.CV2026

VideoCoCo: Code-as-CoT for Physically-Consistent Video Generation via an Agentic Dual-Engine System

Haodong Li, Tianfei Ren, Xiaoxiao Ma +25

Text-to-video models have achieved remarkable visual quality, yet they still struggle to generate physically consistent dynamics because the temporal evolution of a scene must be i…

cs.CV2026

GenClaw: Code-Driven Agentic Image Generation

Junyan Ye, Jun He, Zilong Huang +4

Image generation models have evolved from text-conditioned pixel synthesis toward multimodal agents endowed with visual comprehension and tool invocation capabilities. Yet, existin…

cs.CV2026

FakeVLM-R1: Internalizing Physical Laws via CoT for Synthetic Image Detection

Leqi Zhu, Junyan Ye, Kaiqing Lin +3

The development of generative artificial intelligence technologies has propelled the visual realism of synthetic images to an unprecedented level. Although current interpretable de…

cs.CV2026

Mind-Brush: Integrating Agentic Cognitive Search and Reasoning into Image Generation

Jun He, Junyan Ye, Zilong Huang +6

While text-to-image generation has achieved unprecedented fidelity, the vast majority of existing models function fundamentally as static text-to-pixel decoders. Consequently, they…