APDrawingGAN
HR-VITON
APDrawingGAN | HR-VITON | |
---|---|---|
1 | 2 | |
773 | 783 | |
- | - | |
0.0 | 4.1 | |
almost 2 years ago | 5 months ago | |
Python | Python | |
Apache License 2.0 | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
APDrawingGAN
-
Image to hand drawn
Hi, I'm looking for more projects that will turn an image into a "hand drawn" image. These are the ones I've found so far. They are all based on the same dataset from APDrawingGAN. This is a scaled down image. The originals were generated at 1200px width (512 for APDrawGAN)
HR-VITON
-
Accelerate Machine Learning Local Development and Test Workflows with Nvidia Docker
FROM tensorflow/tensorflow:1.15.5-gpu-py3 # Handle Nvidia public key update and update repositories for Ubuntu 18.x. #https://github.com/sangyun884/HR-VITON/issues/45 # reference: https://jdhao.github.io/2022/05/05/nvidia-apt-repo-public-key-error-fix/ RUN rm /etc/apt/sources.list.d/cuda.list RUN rm /etc/apt/sources.list.d/nvidia-ml.list RUN apt-key del 7fa2af80 # Additional reference: https://gitlab.com/nvidia/container-images/cuda/-/issues/158 RUN export this_distro="$(cat /etc/os-release | grep '^ID=' | awk -F'=' '{print $2}')" \ && export this_version="$(cat /etc/os-release | grep '^VERSION_ID=' | awk -F'=' '{print $2}' | sed 's/[^0-9]*//g')" \ && apt-key adv --fetch-keys "https://developer.download.nvidia.com/compute/cuda/repos/${this_distro}${this_version}/x86_64/3bf863cc.pub" \ && apt-key adv --fetch-keys "https://developer.download.nvidia.com/compute/machine-learning/repos/${this_distro}${this_version}/x86_64/7fa2af80.pub" # get the latest version of OpenCV RUN apt-get update && \ DEBIAN_FRONTEND=noninteractive \ apt-get install -y -qq \ wget git libopencv-dev RUN python -m pip install --upgrade pip && \ pip install matplotlib opencv-python==4.5.4.60 Pillow scipy \ azure-eventhub azure-eventhub-checkpointstoreblob-aio ipykernel WORKDIR /
-
Need some suggestions about garment to person virtual try on
Developing a garment to person virtual try on app, by far, the best results I could find is HR-VITON, another one is pasta-gan++(lower resolution, but should be acceptable after scale up). I have studied the papers of Gaugan
What are some alternatives?
ArtLine - A Deep Learning based project for creating line art portraits.
docker-cuda-demo
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs
container-images
MobileStyleGAN.pytorch - An official implementation of MobileStyleGAN in PyTorch
PASTA-GAN-plusplus
concept-ablation - Ablating Concepts in Text-to-Image Diffusion Models (ICCV 2023)
fourier_feature_nets - Supplemental learning materials for "Fourier Feature Networks and Neural Volume Rendering"
CIHP_PGN - Code repository for Part Grouping Network, ECCV 2018
anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation