Amit (akumar14)

akumar14

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Amit's repositories

3D-face-reconstruction

3D Face Reconstruction from a Single Image using Direct Volumetric CNN Regression.

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3DDFA_V2

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

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3DSfMFaceReconstruction

Deep Unsupervised 3D SfM Face Reconstruction Based on Massive Landmark Bundle Adjustment.

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3FabRec

3FabRec: Fast Few-shot Face alignment by Reconstruction - PyTorch implementation

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AdaptiveWingLoss

[ICCV 2019] Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression - Official Implementation

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akumar.github.io

Personal webpage

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AlphaPose

Real-Time and Accurate Multi-Person Pose Estimation&Tracking System

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Beyond3DMM

Beyond 3DMM Space: Towards Fine-grained 3D Face Reconstruction, ECCV, 2020

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Deep3DFaceRecon_pytorch

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

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detr

End-to-End Object Detection with Transformers

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Exploiting-Spatial-temporal-Relationships-for-3D-Pose-Estimation-via-Graph-Convolutional-Networks

code for ICCV 2019 Paper Exploiting Spatial-temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks

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extreme_3d_faces

Extreme 3D Face Reconstruction: Looking Past Occlusions

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face.evoLVe.PyTorch

🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥

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flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

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landmark-detection

Several landmark detection algorithms, implemented in PyTorch.

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mobilenetv3.pytorch

74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet

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MUNIT

Multimodal Unsupervised Image-to-Image Translation

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next_word_prediction

Pytorch implementation of next word prediction. Includes my own implementation of Google AI's Transformer architecture

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OpenSeeFace

Robust realtime face and facial landmark tracking with Unity integration

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PFLD-pytorch

PFLD pytorch Implementation

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PIPNet

Efficient facial landmark detector

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portfolio

my personal portfolio site

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PRNet

Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)

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pytorch_face_landmark

Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.

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pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

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Res2Net-PretrainedModels

(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

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SADRNet

[TIP 2021] SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction

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TDAN-VSR-CVPR-2020

TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution, CVPR 2020

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VideoPose3D

Efficient 3D human pose estimation in video using 2D keypoint trajectories

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