hamidreza-dastmalchi
PhD candidate at York University exploring deep learning, computer vision, and the synergy between image generation and language.
York University, Lassonde School of Engineering
Pinned Repositories
AACNN
Tensorflow Inplementation for AACNN : Attribute Augmented Convolutional Neural Network for Face Hallucination (NTIRE2018)
AI-Art-CLIP-VQGAN
Jupyter notebooks for image generation using CLIP and VQGAN
Deep-Iterative-Collaboration
Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)
Diffusion-TTA
Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.
EIP-Pytorch
Unofficial Pytorch implementation of paper : Edge and Identity Preserving Network for Face Super-Resolution
EIPNet
Edge and Identity Preserving Network for Face Super-Resolution (EIPNet, Neurocomputing2021)
geometry-free-view-synthesis
Is a geometric model required to synthesize novel views from a single image?
Image-Datasets
The links and descriptions about famous image datasets for deep learning
Knowledge-Distillation
WIPA-Face-Super-Resolution
Pytorch implementation of WIPA: Super-resolution of very low-resolution face images with a Wavelet Integrated, Identity Preserving, Adversarial Network.
hamidreza-dastmalchi's Repositories
hamidreza-dastmalchi/WIPA-Face-Super-Resolution
Pytorch implementation of WIPA: Super-resolution of very low-resolution face images with a Wavelet Integrated, Identity Preserving, Adversarial Network.
hamidreza-dastmalchi/EIP-Pytorch
Unofficial Pytorch implementation of paper : Edge and Identity Preserving Network for Face Super-Resolution
hamidreza-dastmalchi/AACNN
Tensorflow Inplementation for AACNN : Attribute Augmented Convolutional Neural Network for Face Hallucination (NTIRE2018)
hamidreza-dastmalchi/AI-Art-CLIP-VQGAN
Jupyter notebooks for image generation using CLIP and VQGAN
hamidreza-dastmalchi/Deep-Iterative-Collaboration
Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)
hamidreza-dastmalchi/Diffusion-TTA
Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.
hamidreza-dastmalchi/EIPNet
Edge and Identity Preserving Network for Face Super-Resolution (EIPNet, Neurocomputing2021)
hamidreza-dastmalchi/geometry-free-view-synthesis
Is a geometric model required to synthesize novel views from a single image?
hamidreza-dastmalchi/Image-Datasets
The links and descriptions about famous image datasets for deep learning
hamidreza-dastmalchi/Knowledge-Distillation
hamidreza-dastmalchi/latent-diffusion-model
High-Resolution Image Synthesis with Latent Diffusion Models
hamidreza-dastmalchi/new
hamidreza-dastmalchi/RANSR
Residual Attention Network for Super Resolution
hamidreza-dastmalchi/Super-Identity-FH
a simple try to reproduce the paper: Super-Identity Convolutional Neural Network for Face Hallucination
hamidreza-dastmalchi/WaveletSRNet
A pytorch implementation of Paper "Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution"
hamidreza-dastmalchi/vunet
A generative model conditioned on shape and appearance.