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Smile Enhancement with Latent Diffusion
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Module 2
Semantic Segmentation for Facial Features
1
Semantic Segmentation for Localized Smile Enhancement
Justify the choice of semantic segmentation for the specific goal of localized smile enhancement.
2
FCN Encoder-Decoder Architecture for Dense Prediction
Explain the encoder-decoder architecture of Fully Convolutional Networks (FCNs) for dense pixel-wise prediction.
3
Atrous Convolutions: Multi-Scale Context and Spatial Preservation
Describe the mechanism of atrous (dilated) convolutions in capturing multi-scale context while preserving spatial resolution.
4
DeepLabV3 and Atrous Spatial Pyramid Pooling (ASPP)
Analyze the architecture of DeepLabV3, focusing on its Atrous Spatial Pyramid Pooling (ASPP) module.
5
From Logits to Binary Mask: Isolating Facial Features
Formulate the process of converting raw model logits into a binary mask for a target facial feature (e.g., teeth).
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