Sanghyun Son
14 papers · 2018–2026 · 7 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (20) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
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Conference Pioneer
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Century Club Β· Bronze
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Keyword Collector
(60)
Top co-authors
Research topics
Keywords
image denoising
(2)
self-supervised learning
(2)
perceptual quality
(2)
noise modeling
(2)
3d reconstruction
(2)
convolutional neural network
(2)
differentiable rendering
(2)
image restoration
(2)
temporal dynamics
(1)
neural rendering
(1)
policy gradient
(1)
motion blur
(1)
image super-resolution
(1)
information theoretic
(1)
hidden state
(1)
point cloud
(1)
generative model
(1)
image deblurring
(1)
variance reduction
(1)
gradient-based optimization
(1)
Papers
MeshSplatting: Differentiable Rendering with Opaque Meshes
CVPR 2026
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
NeurIPS 2024
ICF-SRSR: Invertible Scale-Conditional Function for Self-Supervised Real-World Single Image Super-Resolution
WACV 2024
Content-Aware Local GAN for Photo-Realistic Super-Resolution
ICCV 2023
Gradient Informed Proximal Policy Optimization
NeurIPS 2023
AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network
CVPR 2022
Clean Images are Hard to Reblur: Exploiting the Ill-Posed Inverse Task for Dynamic Scene Deblurring
ICLR 2022
CVF-SID: Cyclic Multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise From Image
CVPR 2022
C2N: Practical Generative Noise Modeling for Real-World Denoising
ICCV 2021
SRWarp: Generalized Image Super-Resolution under Arbitrary Transformation
CVPR 2021
Recurrent Neural Networks With Intra-Frame Iterations for Video Deblurring
CVPR 2019
Clustering Convolutional Kernels to Compress Deep Neural Networks
ECCV 2018