On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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9 results for “pix2pix”

Full-Scale Continuous Synthetic Sonar Data Generation with Markov Conditional Generative Adversarial Networkscs.LG

MC-pix2pix generates high-quality synthetic sonar data for ATR systems.

problem Generating realistic synthetic sonar data for ATR systems.

method Markov Conditional pix2pix (MC-pix2pix) method.

result MC-pix2pix-generated data is almost indistinguishable from real sonar data.

sonar data generation Markov Conditional pix2pix autonomous underwater vehicles synthetic data ATR systems

2019-10-15abs ↗pdf ↗

Generative Models for Pose Transfercs.GR

Generative models improve pose transfer between people.

problem Transferring actions from one person to another.

method Used nearest neighbor and generative models (pix2pix) for pose transfer.

result Generative models outperform k-NN in generating corresponding frames and generalizing outside the action set.

pose transfer generative models pix2pix action transfer nearest neighbor

2018-06-24abs ↗pdf ↗

Data augmentation with Symbolic-to-Real Image Translation GANs for Traffic Sign Recognitioncs.CV

GANs generate new traffic sign images to improve recognition accuracy.

problem Lack of data limits SqueezeNet's performance in traffic sign recognition.

method Applied pix2pix GANs to translate symbolic sign images to real ones for data augmentation.

result Data augmentation with GANs increased classification accuracy for traffic signs.

GANs data augmentation traffic sign recognition image translation symbolic-to-real

2019-07-17abs ↗pdf ↗

Mix and match networks: encoder-decoder alignment for zero-pair image translationcs.CV

We address the problem of image translation between domains or modalities for which no direct paired data is available (i.e. zero-pair translation). We propose mix and match networks, based on multiple encoders and decoders aligned in such a way that other encoder-decoder pairs can be composed at test time to perform u…

2018-04-06abs ↗pdf ↗

Translating multispectral imagery to nighttime imagery via conditional generative adversarial networkscs.CV

Study uses cGAN to translate multispectral to nighttime satellite imagery.

problem Limited understanding of nighttime satellite imagery composition.

method Adopted and modified pix2pix cGAN framework for multispectral-to-nighttime translation.

result Proves feasibility of multispectral-to-nighttime translation.

nighttime imagery multispectral GAN satellite remote sensing

2019-12-28abs ↗pdf ↗

Generative Adversarial Networks for geometric surfaces prediction in injection moldingstat.ML

GANs predict injection molding parts geometry from hot parts images.

problem Predicting final part geometry from early-stage measurements in injection molding.

method Used pix2pix GAN architecture to translate thermographic images to geometry.

result DMD analysis of GAN predictions reveals geometrical parameters.

GANs injection molding thermography geometry prediction Discrete Modal Decomposition

2019-01-29abs ↗pdf ↗

Learning to Groove with Inverse Sequence Transformationscs.SD

Models learn to transform musical scores into expressive performances.

problem Creating large volumes of paired data for sequence transformations.

method Adapted GAN techniques to sequences, creating paired data through simple transformations.

result Models can plausibly invert transformations like quantization and removing voices.

music drumming Seq2Seq Variational Information Bottleneck GAN

2019-05-14abs ↗pdf ↗

Rapid prediction of lab-grown tissue properties using deep learningq-bio.TO

Deep learning predicts tissue properties from cell-laden hydrogels.

problem Predicting tissue properties from cell-laden hydrogels.

method Developed a process for generating mould designs, created a training set of 6500 cases, trained a deep learning model (pix2pix).

result Deep learning makes excellent predictions and is significantly faster than biophysical methods.

deep learning tissue engineering cellular hydrogels machine learning biophysics

2023-03-31abs ↗pdf ↗

A Systematic Benchmark of Intraoperative Ultrasound-to-MR Synthesis for Brain Tumour Surgerycs.CV

A benchmark evaluates ioUS-to-MR synthesis methods for brain tumor surgery.

problem Difficult interpretation of ioUS images for brain tumor surgery.

method Six generators trained under four inference regimes and two targets on public data.

result SynDiff-2.5D best preserved downstream segmentation (U_Dice=0.55).

brain tumor surgery intraoperative ultrasound MRI synthesis image fidelity downstream segmentation

2026-05-30abs ↗pdf ↗