Pytorch codes for "Learning Spatial Attention for Face Super-Resolution", TIP 2020.
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Published by chaofengc about 1 year ago
This release stores the pretrained model weights and testing datasets.
Semi-supervised Cycle-GAN for face photo-sketch translation in the wild, CVIU2023
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (...
PyTorch codes for "Real-World Blind Super-Resolution via Feature Matching with Implicit High-Reso...
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Att...
The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total S...
Repository for the paper " 3D Human Mesh Regression with Dense Correspondence "
PyTorch codes for "Progressive Semantic-Aware Style Transformation for Blind Face Restoration", C...
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This...
PyTorch codes for "Iterative Token Evaluation and Refinement for Real-World Super-Resolution", AA...
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to...
Robust realtime face and facial landmark tracking on CPU with Unity integration
Official codes of DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
[CVPR2021, PAMI2023] End-to-End Object Detection with Learnable Proposal