This article introduces the Alibaba Cloud Traffic Product Frontend Team's overall idea of D2C and the general solutions.
This post describes how imgcook recognizes design components and expresses them with front-end components for intelligent code generation.
This blog discusses in depth about layout algorithms used by imgcook, focusing on page splitting, loop, and multi-status identification.
This article introduces the concept of semantics in D2C and elaborates further on various semantic decision models based on reinforcement learning and text classification.
This article will describe how imgcook optimizes data and model by building a complete closed-loop procedure for the icon model.
This article is a part of the article series discussing how to generate frontend code from design files intelligently.
This article is a part of the article series discussing how to generate frontend code from design files intelligently.
This article is a part of the article series discussing how to generate frontend code from design files intelligently.
This article is a part of the article series discussing how to generate frontend code from design files intelligently.
This article is a part of the article series discussing how to generate frontend code from design files intelligently.
This article discusses how to generate frontend code from design files intelligently, covering image segmentation and content extraction from complex image backgrounds.
This article discusses business module recognition and explores the random forest and XGBoost models for intelligent frontend code generation.
This article discusses how to generate frontend code from design files intelligently, specifically on code generation for forms and tables.
