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

2 citations · 2 across the 9 of their papers we have counts for

collaborators

16 papers

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

To See a World in a Living Context: Unified Indoor-Outdoor Urban World Generation

Xiaobin Huang, Zilong Huang, Yang Luo +3

Text-driven 3D generation has advanced rapidly in creating large-scale outdoor environments and detailed indoor scenes, but these domains are usually synthesized independently, lac…

cs.AI2026

WorldClaw: Agentic 3D Open-World Generation at Scale

Chunchao Guo, Jinpeng Li, Yang Li +1

Generating large-scale, freely explorable 3D worlds from open-ended text remains challenging because a system must jointly maintain global spatial coherence, rich local content, an…

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

ArchSIBench: Benchmarking the Architectural Spatial Intelligence of Vision-Language Models

Qirui Shen, Wenda Wang, Jiachen Lu +5

Architectural spatial intelligence, the ability to recognize and infer architectural space, is fundamental to tasks such as robot navigation, embodied interaction, and 3D scene und…

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…