UIPress: Bringing Optical Token Compression to UI-to-Code Generation

• URL: http://arxiv.org/abs/2604.09442v1
• Date: Fri, 10 Apr 2026 15:58:31 GMT
• Title: UIPress: Bringing Optical Token Compression to UI-to-Code Generation
• Abstract summary: We propose a lightweight learned compression module for UI-to-Code generation.<n> UIPress combines depthwise-separable convolutions, element-guided spatial reweighting, and Transformer refinement to compress visual tokens to a fixed budget of 256.<n>To the best of our knowledge, UIPress is the first encoder-side learned compression method for the UI-to-Code task.
• Score: 2.462537008029033
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: UI-to-Code generation requires vision-language models (VLMs) to produce thousands of tokens of structured HTML/CSS from a single screenshot, making visual token efficiency critical. Existing compression methods either select tokens at inference time using task-agnostic heuristics, or zero out low-attention features without actually shortening the sequence -- neither truly reduces prefill latency or adapts to the non-uniform information density of UI screenshots. Meanwhile, optical (encoder-side learned) compression has shown strong results for document OCR, yet no prior work has adapted this paradigm to UI-to-Code generation. We propose UIPress, a lightweight learned compression module inserted between the frozen ViT encoder and the LLM decoder of Qwen3-VL-8B. UIPress combines depthwise-separable convolutions, element-guided spatial reweighting, and Transformer refinement to compress ${\sim}$6{,}700 visual tokens to a fixed budget of 256. Together with Low-Rank Adaptation (LoRA) on the decoder to bridge the representation gap, the entire system adds only ${\sim}$21.7M trainable parameters (0.26\% of the 8B base model). Under a fair comparison on the same base model against four baselines on Design2Code, UIPress at 256 tokens achieves a CLIP score of 0.8127, outperforming the uncompressed baseline by +7.5\% and the strongest inference-time method by +4.6\%, while delivering 9.1$\times$ time-to-first-token speedup. To the best of our knowledge, UIPress is the first encoder-side learned compression method for the UI-to-Code task.

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