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fxia22/pldtgan

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Pldtgan

Features

  • Generative Models - Facilitates pixel-level domain transfer between image sets.

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Open-source alternatives to Pldtgan

Similar open-source projects, ranked by how many features they share with Pldtgan.
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    Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

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  • aidc-ai/omni-viewAIDC-AI avatar

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  • aaronjackson/vrnAaronJackson avatar

    AaronJackson/vrn

    4,515View on GitHub↗

    vrn is a 3D face reconstruction tool that generates three-dimensional volumetric representations of human faces from single two-dimensional images. It utilizes a volumetric convolutional neural network regression model to predict 3D volume data directly from image pixels. The system converts these volumetric predictions into 3D meshes through isosurface extraction and vertex coloring. It further applies realistic surface details by mapping two-dimensional image pixels onto the resulting 3D mesh using nearest-neighbor texture projection. The project provides capabilities for single-image dept

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Frequently asked questions

What are the main features of fxia22/pldtgan?

The main features of fxia22/pldtgan are: Generative Models.

What are some open-source alternatives to fxia22/pldtgan?

Open-source alternatives to fxia22/pldtgan include: abisee/pointer-generator — Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks". addtt/ladder-vae-pytorch. aidc-ai/omni-view — Shanshan Zhao♯ , Qing-Guo Chen , Xuerui Qiu , Jialun Liu , Zhao Xu , Weihua Luo , Kaifu Zhang , Yanye Lu♯. aiff22/dped — Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks. ajbrock/biggan-pytorch — The author's officially unofficial PyTorch BigGAN implementation. aaronjackson/vrn — vrn is a 3D face reconstruction tool that generates three-dimensional volumetric representations of human faces from…