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Robust Equivariant Imaging (REI), CVPR'2022 Oral
A powerful and flexible machine learning platform for drug discovery
Proximal Gradient Descent Network (PGD-Net) for Magnetic Resonance Fingerprinting, MICCAI'2020
Deep Decomposition Network (DDN) for Inverse Imaging Problems, ECCV'2020
Machine learning, computer vision, statistics and general scientific computing for .NET
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.…
pip install antialiased-cnns to improve stability and accuracy
PyTorch implementations of Generative Adversarial Networks.
Methods and Implements of Deep Clustering
Computational Tomography in PyTorch
Learning sparse convex representation without using non-negative constraint, AAAI'14
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
[ECCV 2020] NAS-DIP: Learning Deep Image Prior with Neural Architecture Search
Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)
Code for Neural Architecture Search without Training (ICML 2021)
Collection of reproducible deep learning for compressive sensing
Code for deep generative prior (ECCV2020 oral)
ECCV 2024 论文和开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2024论文和开源项目
Code release for NeRF (Neural Radiance Fields)