Example 1
Trajectory:
• Learning LR-HR -> challenge: large patch space -> learning mixture of models -> learning 1D profile -> high-level feature
Relationship:
• Contrastive concept: External vs. Internal (no learning)
Source: cv-foundation.org/openaccess/con…
Example 2
Trajectory:
• Applications of vision-based methods for assessment.
• Highlight the closest related work.
Relationship:
• Building upon the methodology... BUT, use deep learning.
Source: Deep Paper Gestalt arxiv.org/abs/1812.08775
Example 3
Trajectory:
• Video completion methods and their use for view synthesis.
Relationship:
• Contrastive concept: \emph{screen space} vs. \emph{3D space}.
Source: arxiv.org/abs/2011.12950
Example 4
Trajectory:
• Different conditions in conditional GANs.
• Image-conditioned models.
• GANs for translation, but only unconditionally
Relationship:
• Contrastive concept: Application-specific vs. Application-agnostic
Source: Pix2Pix arxiv.org/abs/1611.07004
Example 5
Trajectory:
• Initial attempts -> supervised learning -> CNN-based methods
Relationship:
• ALSO a learning-based approach, BUT go beyond ...
• Contrastive concept: 3D supervision <-> Multiview supervision
Source: arxiv.org/abs/1807.10264
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