25 papers with code • 1 benchmarks • 1 datasets

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Use these libraries to find MORPH models and implementations

Most implemented papers

Computational Optimal Transport

google-research/ott 1 Mar 2018

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 23 Aug 2020

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 2 Sep 2018

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 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 8 Oct 2019

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

JensonZhu14/AcGAN 24 Oct 2019

Face aging is of great importance for cross-age recognition and entertainment-related applications.

Simulation Assisted Likelihood-free Anomaly Detection

bnachman/DCTRHunting 14 Jan 2020

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

coocgan/cooc_texture 17 May 2020

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

stanfordmlgroup/DLBCL-Morph 17 Sep 2020

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

jingdao/learn_region_grow 16 Mar 2021

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.