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deep3dfacerecon_pytorch icon deep3dfacerecon_pytorch

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019). A PyTorch implementation.

deep3dfacereconstruction icon deep3dfacereconstruction

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019)

deepfashionswap icon deepfashionswap

Virtual Fashion TryON - Fashion(Garment) transfer on a given target using Deep learning.

densenet icon densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

df icon df

Larger resolution face masked, weirdly warped, deepfake,

discofacegan icon discofacegan

Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning (CVPR 2020 Oral)

dpr icon dpr

Code for Deep Single-image Portrait Image Relighting

dualstylegan icon dualstylegan

[CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer

encoder4editing icon encoder4editing

Official implementation of "Desinging an Encoder for StyleGAN Image Manipulation" https://arxiv.org/abs/2102.02766

face-sparnet icon face-sparnet

Pytorch codes for "Learning Spatial Attention for Face Super-Resolution", TIP 2020.

faceboxes icon faceboxes

FaceBoxes: A CPU Real-time Face Detector with High Accuracy, IJCB, 2017

facekit icon facekit

Implementations of PCN (an accurate real-time rotation-invariant face detector) and other face-related algorithms

facepose_pytorch icon facepose_pytorch

🔥🔥The pytorch implement of the head pose estimation(yaw,roll,pitch) and emotion detection with SOTA performance in real time.Easy to deploy, easy to use, and high accuracy.Solve all problems of face detection at one time.(极简,极快,高效是我们的宗旨)

facescape icon facescape

FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction (CVPR2020)

faceswap icon faceswap

Non official project based on original /r/Deepfakes thread. Many thanks to him!

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fcis icon fcis

Fully Convolutional Instance-aware Semantic Segmentation

fcn.berkeleyvision.org icon fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

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