Reproduce “Transform your Smartphone into a DSLR Camera: Learning the ISP in the Wild” on OpenResearch

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About this paper

Ardhendu Shekhar Tripathi, Martin Danelljan, Samarth Shukla, Radu Timofte, Luc Van Gool

The authors learn a phone RAW-to-sRGB pipeline for DSLR-style rendering by separating color prediction from detail restoration. During training, a forward–backward optical-flow consistency mask excludes regions with unreliable alignment. On ISPW, the method reports 25.05 dB PSNR and 0.821 SSIM, versus LiteISPNet’s 23.51 dB and 0.809. Evidence covers two benchmarks, not performance across phones or scenes.

Summary by alphaXiv.

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