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Official inference repo for FLUX.1 models
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Open-Sora: Democratizing Efficient Video Production for All
SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.
[ECCV 2024] codes of DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
StyTr2 : Image Style Transfer with Transformers
Official repository of "Investigating Tradeoffs in Real-World Video Super-Resolution"
A latent text-to-image diffusion model
Official code of OSRT: Omnidirectional Image Super-Resolution with Distortion-aware Transformer
A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".
NTIRE 2023 Challenge on 360° Omnidirectional Image and Video Super-Resolution
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
High-Resolution Image Synthesis with Latent Diffusion Models
Handy image viewer based on PyQt5. Convenient for viewing and comparing :-)
zt706 / liif
Forked from yinboc/liifLearning Continuous Image Representation with Local Implicit Image Function
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face D…
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
Count the MACs / FLOPs of your PyTorch model.