Reyhanehne
I am a Ph.D. candidate at Seoul National University. My research interest is, Self-supervised Learning, Image Processing, and 3D Vision.
Pinned Repositories
3DIAS_PyTorch
Official implementation of the paper "3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces" (ICCV 2021)
PolyNet_PyTorch
Official implementation of the paper "PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation" (3DV 2021)
CVF-SID_PyTorch
Official implementation of the paper "CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from Image" (CVPR 2022)
ICF-SRSR_PyTorch
Official implementation of the paper "ICF-SRSR: Invertible scale-Conditional Function for Self-Supervised Real-world Single Image Super-Resolution" (WACV 2024)
reyhanehne.github.io
SR_manifold
Super Resolution with Manifold Learning
Reyhanehne's Repositories
Reyhanehne/CVF-SID_PyTorch
Official implementation of the paper "CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from Image" (CVPR 2022)
Reyhanehne/ICF-SRSR_PyTorch
Official implementation of the paper "ICF-SRSR: Invertible scale-Conditional Function for Self-Supervised Real-world Single Image Super-Resolution" (WACV 2024)
Reyhanehne/reyhanehne.github.io
Reyhanehne/SR_manifold
Super Resolution with Manifold Learning