Seonghyeon Nam
13 papers · 2016–2026 · 4 venues · across top CS/AI venues
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Research topics
Computer Vision
(10)
Deep Learning
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Generation
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Analysis
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Learning Types Β· Deep Learning
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Models
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Processing
(5)
Machine Learning
(3)
Computer Science
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(2)
Artificial Intelligence
(1)
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Keywords
image generation
(2)
image manipulation
(2)
keypoint detection
(2)
generative adversarial network
(2)
video generation
(2)
neural radiance field
(2)
novel view synthesis
(2)
neural network
(2)
raw rgb reconstruction
(1)
conditional generation
(1)
video prediction
(1)
image de-rendering
(1)
image synthesis
(1)
content-aware metadata
(1)
feature embedding
(1)
natural language processing
(1)
feature disentanglement
(1)
neural rendering
(1)
semantic matching
(1)
face recognition
(1)
Papers
LaVR: Scene Latent Conditioned Generative Video Trajectory Re-Rendering using Large 4D Reconstruction Models
CVPR 2026
Geometry Transfer for Stylizing Radiance Fields
CVPR 2024
Learning Neural Duplex Radiance Fields for Real-Time View Synthesis
CVPR 2023
Dense Interspecies Face Embedding
NeurIPS 2022
Learning sRGB-to-Raw-RGB De-Rendering With Content-Aware Metadata
CVPR 2022
Neural Image Representations for Multi-Image Fusion and Layer Separation
ECCV 2022
Large Scale Multi-Illuminant (LSMI) Dataset for Developing White Balance Algorithm Under Mixed Illumination
ICCV 2021
Cross-Identity Motion Transfer for Arbitrary Objects through Pose-Attentive Video Reassembling
ECCV 2020
End-To-End Time-Lapse Video Synthesis From a Single Outdoor Image
CVPR 2019
Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction
NeurIPS 2019
Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language
NeurIPS 2018
Modelling the Scene Dependent Imaging in Cameras With a Deep Neural Network
ICCV 2017
A Holistic Approach to Cross-Channel Image Noise Modeling and Its Application to Image Denoising
CVPR 2016