3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in depth-image-estimation-2
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Use these libraries to find depth-image-estimation-2 models and implementations
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3D Dense Face Alignment (3DDFA), in which a dense 3D Morphable Model (3DMM) is fitted to the image via Cascaded Convolutional Neural Networks, is proposed, which utilizes 3D information to synthesize face images in profile views to provide abundant samples for training.
Adding a benchmark result helps the community track progress.