27 Open source projects that are alternatives of or similar to ACSCP_cGAN

Unofficial implementation of "Crowd Counting via Adversarial Cross-Scale Consistency Pursuit" with pytorch - CVPR 2018

The official implementation of "Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting"

Text to Image Synthesis using Generative Adversarial Networks

To the best of our knowledge, this is the first work to explicitly address feature similarity issue in multi-column design. Extensive experiments on four challenging benchmarks (ShanghaiTech, UCF_CC_50, UCF-QNRF, and Mall) demonstrate the effectiveness of the proposed innovations as well as the superior performance over the state-of-the-art. Mor…

PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)

The collection of pre-trained, state-of-the-art AI models for ailia SDK

Image Crowd Counting Using Convolutional Neural Network and Markov Random Field

Conditional Sequence Generative Adversarial Network trained with policy gradient, Implementation in Tensorflow

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

An unofficial implementation of W-Net for crowd counting.

Crowd counting on the ShanghaiTech dataset, using multi-column convolutional neural networks.

Implementation of the CSRNet paper (CVPR 18) in keras-tensorflow

Image to Image Translation using Conditional GANs (Pix2Pix) implemented using Tensorflow 2.0

Generative Adversarial Networks in TensorFlow 2.0

Unofficial Pytorch implementation of S-DCNet and SS-DCNet

Implementation of paper everybody dance now for Deep learning course project

The sample code for a large-scale crowd counting dataset, NWPU-Crowd.

PyTorch implementations of the paper: "Learning Independent Instance Maps for Crowd Localization"

Optical Flow Dataset and Benchmark for Visual Crowd Analysis

Multi-level Attention Refined UNet for crowd counting

The smart city reference pipeline shows how to integrate various media building blocks, with analytics powered by the OpenVINO™ Toolkit, for traffic or stadium sensing, analytics and management tasks.

This project uses a conditional generative adversarial network (cGAN) named Pix2Pix for the Image to image translation task.

Collection of generative models in Pytorch version.

Awesome Crowd Counting

An unofficial implement of paper "Dense Scale Network for Crowd Counting", link: https://arxiv.org/abs/1906.09707

PCC Net: Perspective Crowd Counting via Spatial Convolutional Network

keras实现的人群密度检测网络"Single Image Crowd Counting via Multi Column Convolutional Neural Network"，欢迎试用、关注并反馈问题...