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Found 4 papers, 2 papers with code
Transform your Smartphone into a DSLR Camera: Learning the ISP in the Wild
We propose a trainable Image Signal Processing (ISP) framework that produces DSLR quality images given RAW images captured by a smartphone.
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report
While many solutions have been proposed for this task, they are usually very computationally expensive and thus are not applicable for on-device inference.
Zero-Pair Image to Image Translation using Domain Conditional Normalization
In this paper, we propose an approach based on domain conditional normalization (DCN) for zero-pair image-to-image translation, i. e., translating between two domains which have no paired training data available but each have paired training data with a third domain.
Extremely Weak Supervised Image-to-Image Translation for Semantic Segmentation
Recent advances in generative models and adversarial training have led to a flourishing image-to-image (I2I) translation literature.
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