Sanghyun Son
13 papers · 2018–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (7) π Academic Marathon (7) π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (16)
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Conference Polyglot
(7)
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Academic Marathon
(7)
π
Renaissance Researcher
(6)
π§¬
Topic Evolution
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Century Club
(13)
π
Conference Pioneer
π₯
Unstoppable
(5)
Conferences
CVPR (4)
ICCV (3)
NIPS (2)
ECCV (1)
ICLR (1)
ICML (1)
WACV (1)
Top co-authors
Keywords
image restoration
(2)
image denoising
(2)
convolutional neural network
(2)
noise modeling
(2)
3d reconstruction
(2)
self-supervised learning
(2)
gradient-based optimization
(1)
variance reduction
(1)
policy gradient
(1)
differentiable rendering
(1)
image super-resolution
(1)
point cloud
(1)
generative model
(1)
hidden state
(1)
deep convolutional neural network
(1)
image generation
(1)
recurrent neural network
(1)
generative adversarial network
(1)
unsupervised learning
(1)
model compression
(1)
Papers
DMesh++: An Efficient Differentiable Mesh for Complex Shapes
ICCV 2025
Time-Aware World Model for Adaptive Prediction and Control
ICML 2025
DMesh: A Differentiable Mesh Representation
NIPS 2024
ICF-SRSR: Invertible Scale-Conditional Function for Self-Supervised Real-World Single Image Super-Resolution
WACV 2024
Gradient Informed Proximal Policy Optimization
NIPS 2023
Content-Aware Local GAN for Photo-Realistic Super-Resolution
ICCV 2023
CVF-SID: Cyclic Multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise From Image
CVPR 2022
Clean Images are Hard to Reblur: Exploiting the Ill-Posed Inverse Task for Dynamic Scene Deblurring
ICLR 2022
AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network
CVPR 2022
SRWarp: Generalized Image Super-Resolution under Arbitrary Transformation
CVPR 2021
C2N: Practical Generative Noise Modeling for Real-World Denoising
ICCV 2021
Recurrent Neural Networks With Intra-Frame Iterations for Video Deblurring
CVPR 2019
Clustering Convolutional Kernels to Compress Deep Neural Networks
ECCV 2018