GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
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Updated
Dec 23, 2019 - Python
GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
A new large-scale noise-controlled face recognition dataset.
Superpixel Sampling Networks (ECCV2018)
Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network (ECCV 2018)' paper
TensorFlow implementation of "Simple Baselines for Human Pose Estimation and Tracking", ECCV 2018
This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).
DeepTAM: Deep Tracking and Mapping https://lmb.informatik.uni-freiburg.de/people/zhouh/deeptam/
An official TensorFlow implementation of "Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence" (ECCV 2018) by Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, and Joseph J. Lim
TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
Implementation of ECCV'18 paper - GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints
This is the implementation for Deep High Dynamic Range Imaging with Large Foreground Motions (ECCV'18)
Pytorch Implementation of "Object level Visual Reasoning in Videos", F. Baradel, N. Neverova, C. Wolf, J. Mille, G. Mori , ECCV 2018
Audio-Visual Event Localization in Unconstrained Videos, ECCV 2018
Weakly- and Semi-Supervised Panoptic Segmentation (ECCV18)
Repository for different network models related to flow/disparity (ECCV 18)
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation (ECCV 2018)
Improving Generalization via Scalable Neighborhood Component Analysis
A PyTorch reimplementation of FCSN in paper "Video Summarization Using Fully Convolutional Sequence Networks"
SaGAN PyTorch "Generative Adversarial Network with Spatial Attention for Face Attribute Editing"
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