MORPH
25 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in MORPH
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Libraries
Use these libraries to find MORPH models and implementations
Universal Dependencies
Most implemented papers
Computational Optimal Transport
Optimal transport (OT) theory can be informally described using the words of the French mathematician Gaspard Monge (1746-1818): A worker with a shovel in hand has to move a large pile of sand lying on a construction site.
A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild
Rudrabha/Wav2Lip
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However, they fail to accurately morph the lip movements of arbitrary identities in dynamic, unconstrained talking face videos, resulting in significant parts of the video being out-of-sync with the new audio.
Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition
ZhaoJ9014/High_Performance_Face_Recognition
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Benchmarking our model on one of the most popular unconstrained face recognition datasets IJB-C additionally verifies the promising generalizability of AIM in recognizing faces in the wild.
Decorrelated Adversarial Learning for Age-Invariant Face Recognition
neverUseThisName/Decorrelated-Adversarial-Learning
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CVPR 2019
To reduce such a discrepancy, in this paper we propose a novel algorithm to remove age-related components from features mixed with both identity and age information.
Meta Module Network for Compositional Visual Reasoning
wenhuchen/Meta-Module-Network
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To design a more powerful NMN architecture for practical use, we propose Meta Module Network (MMN) centered on a novel meta module, which can take in function recipes and morph into diverse instance modules dynamically.
Look globally, age locally: Face aging with an attention mechanism
Face aging is of great importance for cross-age recognition and entertainment-related applications.
Simulation Assisted Likelihood-free Anomaly Detection
For potential signals that are resonant in one known feature, this new method first learns a parameterized reweighting function to morph a given simulation to match the data in sidebands.
Co-occurrence Based Texture Synthesis
As image generation techniques mature, there is a growing interest in explainable representations that are easy to understand and intuitive to manipulate.
DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set
We used a deep learning model to segment all tumor nuclei in the ROIs, and computed several geometric features for each segmented nucleus.
LRGNet: Learnable Region Growing for Class-Agnostic Point Cloud Segmentation
3D point cloud segmentation is an important function that helps robots understand the layout of their surrounding environment and perform tasks such as grasping objects, avoiding obstacles, and finding landmarks.
