stargan-v2 VS VIBE

Compare stargan-v2 vs VIBE and see what are their differences.

VIBE

Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation" (by mkocabas)
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stargan-v2 VIBE
1 5
3,418 2,802
0.2% -
0.0 0.0
about 1 year ago about 1 year ago
Python Python
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
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stargan-v2

Posts with mentions or reviews of stargan-v2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-20.
  • How to Run stargan2 on Google Colab
    2 projects | dev.to | 20 Jul 2021
    This version of StarGAN2 (coined as 'Post-modern Style Transfer') is intended mostly for fellow artists, who rarely look at scientific metrics, but rather need a working creative tool. At least, this is what I use nearly daily myself. Here are few pieces, made with it: Terminal Blink, Occurro, etc. Tested on Pytorch 1.4-1.8. Sequence-to-video conversions require FFMPEG. For more explicit details refer to the original implementation.

VIBE

Posts with mentions or reviews of VIBE. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-01.

What are some alternatives?

When comparing stargan-v2 and VIBE you can also consider the following projects:

AvatarMe - Public repository for the CVPR 2020 paper AvatarMe and the TPAMI 2021 AvatarMe++

video2bvh - Extracts human motion in video and save it as bvh mocap file.

ALAE - [CVPR2020] Adversarial Latent Autoencoders

frankmocap - A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator

stargan2 - StarGAN2 for practice

openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

meshed-memory-transformer - Meshed-Memory Transformer for Image Captioning. CVPR 2020

mediapipe - Cross-platform, customizable ML solutions for live and streaming media.

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

smplx - SMPL-X

SMPL - NumPy, TensorFlow and PyTorch implementation of human body SMPL model and infant body SMIL model.

kapao - KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.