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지금까지 읽은 논문들을 정리하는 곳입니다.
분야에 따라 정리하여 볼 수 있는 view를 만들어서 원하는 분야의 view를 선택하시고 논문을 찾아보시면 됩니다.
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Monte Carlo Noise Reduction
12
Neural Rendering
1
3D Vision
1
2D Vision
4
Neural Networks
1
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Path Graphs: Iterative Path Space Filtering [ToG21]
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Kernel-Predicting Convolutional Networks for Denoising Monte Carlo Renderings [ToG17]
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Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder [ToG17]
A Machine Learning Approach for Filtering Monte Carlo Noise [ToG15]
Adversarial Monte Carlo Denoising with Conditioned Auxiliary Feature Modulation
Sample-based Monte Carlo Denoising using a Kernel-Splatting Network [ToG19]
Denoising with Kernel Prediction and Asymmetric Loss Functions [ToG18]
Neural Denoising with Layer Embeddings [EGSR20]
Real-time Monte Carlo Denoising with the Neural Bilateral Grid [EGSR20]
Interactive Monte Carlo Denoising using Affinity of Neural Features [ToG21]
Deep Combiner for Independent and Correlated Pixel Estimates [ToG20]
Continuous Multiple Importance Sampling[ToG20]
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NeRV: Neural Reflectance and Visibility Field [NIPS21]
Dynamic Graph CNN for Learning on Point Cloud [ToG19]
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Flexible Image Denoising with Multi-layer Conditional Feature Modulation
Attention Mechanism Enhanced Kernel Prediction Networks for Denoising of Burst Images [ICASSP20]
Noise2noise: Learning Image Restoration without Clean Data [ICML18]
Non-local Neural Networks [CVPR18]
A Non Local Algorithm for Denoising [CVPR05]