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Jinglu Chen

2 accepted papers

2025

Revisiting CAD Model Generation by Learning Raster Sketch

AAAI 2025technical

The integration of deep generative networks into generating Computer-Aided Design (CAD) models has garnered increasing attention over recent years. Traditional methods often rely on discrete sequences of parametric line/curve segments to represent sketches. Differently, we introduce RECAD, a novel f…

Cited by 0SourcePDFScholar
2024

BFRFormer: Transformer-Based Generator for Real-World Blind Face Restoration

ICASSP 2024accepted

Blind face restoration is a challenging task due to the unknown and complex degradation. Although face prior-based methods and reference-based methods have recently demonstrated high-quality results, the restored images tend to contain over-smoothed results and lose identity-preserved details when t…

Cited by 0SourceScholar