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NepScript Genesis: Neural Architecture Search for Handwritten Devanagari Digit Synthesis

Paper recorded by Signals 4 on 2026-08-30 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-08-30 on arXiv · recorded by Signals 4 on 2026-09-01

Category: cs.CV · 计算机视觉 · first seen 2026-09-01

Abstract

This paper introduces NepScript Genesis, a Neural Architecture Search (NAS) framework for automated Generative Adversarial Network (GAN) discovery, applied to conditional Devanagari handwritten digit synthesis. We compare five NAS strategies against a carefully constructed Deep Convolutional GAN (DCGAN) baseline (FID=332.28). Architecture selection utilizes a two-stage pipeline guided by a novel d

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#215 most recent of 237 cs.CV papers we have recorded · ↑ newer: MotionSync: Non-Causal Refinement of Causal Tracker for Label-Efficien · ↓ older: FuncRoom-Agent: Sequential Feed-Forward 3D Functional Indoor Scene Gen
Cite this page: NepScript Genesis: Neural Architecture Search for Handwritten Devanagari Digit Synthesis: the #215 most recent of 237 cs.CV papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/nepscript-genesis-neural-architecture-search-for-handwritten-devanagari-digit-sy.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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