Popular GitHub Repositories for Acmmm2018

StarGAN - Official PyTorch Implementation (CVPR 2018)

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Gibson Environments: Real-World Perception for Embodied Agents

Unsupervised Feature Learning via Non-parametric Instance Discrimination

A PyTorch implementation of the Deep SVDD anomaly detection method

Inference Code for Polygon-RNN++ (CVPR 2018)

CVPR 论文收集，包含但不限于2022、2021、2020、2019、2018、2017文章

This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.

A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

This repository contains the source codes for the paper "AtlasNet: A Papier-Maché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.

365 Days Computer Vision Learning Linkedin Post

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

[IJCAI18] SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)

[ACM MM 2023] - LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On

Image Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018