Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
Shanshan Zhao♯ , Qing-Guo Chen , Xuerui Qiu , Jialun Liu , Zhao Xu , Weihua Luo , Kaifu Zhang , Yanye Lu♯
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
Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
الميزات الرئيسية لـ andrewgordonwilson/bayesgan هي: Generative Models.
تشمل البدائل مفتوحة المصدر لـ andrewgordonwilson/bayesgan: 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…