arXiv:1705.07962
공식 코드 · Papers with Code
pix2code: Generating Code from a Graphical User Interface Screenshot
원문 초록
Transforming a graphical user interface screenshot created by a designer into computer code is a typical task conducted by a developer in order to build customized software, websites, and mobile applications. In this paper, we show that deep learning methods can be leveraged to train a model end-to-end to automatically generate code from a single input image with over 77% of accuracy for three different platforms (i.e. iOS, Android and web-based technologies).
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
A Large-scale Class-level Benchmark Dataset for Code Generation with LLMs
The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs
Kodezi Chronos: A Debugging-First Language Model for Repository-Scale, Memory-Driven Code Understanding
Rethinking Verification for LLM Code Generation: From Generation to Testing
EvoAgentX: An Automated Framework for Evolving Agentic Workflows
CoreCodeBench: A Configurable Multi-Scenario Repository-Level Benchmark
토론
이 논문과 연결된 포럼 글이 아직 없습니다.