Ren Li (liren2515)

liren2515

Geek Repo

Company:École Polytechnique Fédérale de Lausanne

Location:Lausanne, Switzerland

Home Page:https://liren2515.github.io/page/

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Ren Li's starred repositories

SPIN

Repository for the paper "Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop"

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awesome-human-pose-estimation

Human Pose Estimation Related Publication

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DeeperForensics-1.0

[CVPR 2020] A Large-Scale Dataset for Real-World Face Forgery Detection

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academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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TexturePose

Repository for the paper "TexturePose: Supervising Human Mesh Estimation with Texture Consistency"

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RotationContinuity

Coder for "On the Continuity of Rotation Representations"

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DensePose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

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VideoPose3D

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

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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google-research

Google Research

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SpectralGraphConv

:shell: Implementation of Spectral Graph Convolution Variational Autoencoder(SPGCVAE)

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Caricature-Data

:seedling: [CVPR'18] Alive Caricature from 2D to 3D. This repository contains some caricature-related data.

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DR-Learning-for-3D-Face

Implementation for paper "Disentangled Representation Learning for 3D Face Shape" CVPR 2019

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generative_pose

Code for our ICCV 19 paper : Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking

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ReenactGAN

[ECCV 2018] ReenactGAN: Learning to Reenact Faces via Boundary Transfer

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temporal-segment-networks

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

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pytorch-video-recognition

PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition.

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pytorch_HMR

pytorch version of "End-to-end Recovery of Human Shape and Pose"

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image-super-resolution

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

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