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Found 4 papers, 3 papers with code
Self-Supervised Robustifying Guidance for Monocular 3D Face Reconstruction
Therefore, we propose a Self-Supervised RObustifying GUidancE (ROGUE) framework to obtain robustness against occlusions and noise in the face images.
Bridging Unsupervised and Supervised Depth from Focus via All-in-Focus Supervision
In this paper, we propose a method to estimate not only a depth map but an AiF image from a set of images with different focus positions (known as a focal stack).
CLCC: Contrastive Learning for Color Constancy
In this paper, we present CLCC, a novel contrastive learning framework for color constancy.
Network Space Search for Pareto-Efficient Spaces
We propose an NSS method to directly search for efficient-aware network spaces automatically, reducing the manual effort and immense cost in discovering satisfactory ones.
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