Scene Text Editing (STE) aims to naturally modify text in images while preserving visual consistency, the decisive factors of which can be divided into three parts, i.e., text style, text content, and background. Previous methods have struggled with incomplete disentanglement of editable attributes, typically addressing only one aspect—such as editing text content—thus limiting controllability and visual consistency. To overcome these limitations, we propose TripleFDS, a novel framework for STE with disentangled modular attributes, and an accompanying dataset called SCB Synthesis. SCB Synthesis provides robust training data for triple feature disentanglement by utilizing the "SCB Group", a novel construct that combines three attributes per image to generate diverse, disentangled training groups. Leveraging this construct as a basic training unit, TripleFDS first disentangles triple features, ensuring semantic accuracy through inter-group contrastive regularization and preventing redundancy through intra-sample multi-feature orthogonality. In the synthesis phase, TripleFDS performs feature remapping to prevent "shortcut" phenomena during reconstruction and mitigate potential feature leakage. Trained on 125,000 SCB Groups, TripleFDS achieves state-of-the-art image fidelity (SSIM of 44.54) and text accuracy (ACC of 93.58%) on the mainstream STE benchmarks. Besides superior performance, the more flexible editing of TripleFDS supports new operations such as style replacement and background transfer.

This paper presents a capacitively-coupled chopper instrumentation amplifier designed for the analog front end (AFE) of Electrocardiogram monitoring. It employs an embedded DC-servo loop to reduce the input-referred noise (IRN). Additionally, a digital calibration unit is employed to realize large electrode DC offset (EDO) cancellation ability. To prevent the second harmonic ripple, a three-state ripple reduction loop is proposed here. The proposed AFE is implemented in a 180 nm CMOS process and consumes 1.37 μW from a 1.2 V supply with ±95 mV EDO cancellation range. Besides, the IRN from 1 Hz to 200 Hz is 1.68 μVrmswith a noise efficiency factor of 4.87.