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3D Architecture

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/congliuUvA/Multivector-Neurons

공식 코드

Multivector Neurons: Better and Faster O(n)-Equivariant Clifford Graph Neural Networks

https://github.com/conor-horgan/DeepeR

공식 코드

High-throughput molecular imaging via deep learning enabled Raman spectroscopy

https://github.com/conor-horgan/spectrai

공식 코드

spectrai: A deep learning framework for spectral data

https://github.com/cooelf/instancereg

공식 코드

Instance Regularization for Discriminative Language Model Pre-training

https://github.com/cp3wan/dformer

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DFormer: Diffusion-guided Transformer for Universal Image Segmentation

https://github.com/cpu9xx/ael

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When SparseMoE Meets Noisy Interactions: An Ensemble View on Denoising Recommendation

https://github.com/crosszamirski/guided-i2i

공식 코드

Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels

https://github.com/csdwren/sfarl

공식 코드

Simultaneous Fidelity and Regularization Learning for Image Restoration

https://github.com/csguoh/adaptir

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Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts

https://github.com/csjianyang/ganlm

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GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator

https://github.com/csjunxu/Noisy-As-Clean

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Noisy-As-Clean: Learning Self-supervised Denoising from the Corrupted Image

https://github.com/csjunxu/PolyUDataset

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Real-world Noisy Image Denoising: A New Benchmark

https://github.com/csm9493/FBI-Denoiser

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FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise

https://github.com/csm9493/FC-AIDE-Keras

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Fully Convolutional Pixel Adaptive Image Denoiser

https://github.com/csm9493/GAN2GAN

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GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images

https://github.com/cswin/RC-Nets

공식 코드

Image Restoration Using Deep Regulated Convolutional Networks

https://github.com/cswin/WIN

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Wide Inference Network for Image Denoising via Learning Pixel-distribution Prior

https://github.com/csyanbin/3d-medical-generative-survey

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3D Brain and Heart Volume Generative Models: A Survey

https://github.com/cszhilu1998/bracketire

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Exposure Bracketing Is All You Need For A High-Quality Image

https://github.com/cszhilu1998/selfir

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Self-Supervised Image Restoration with Blurry and Noisy Pairs

https://github.com/cszn/DnCNN

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Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

https://github.com/cszn/FFDNet

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FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising

https://github.com/cszn/ircnn

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Learning Deep CNN Denoiser Prior for Image Restoration

https://github.com/cszn/scunet

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Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis

https://github.com/cubeyoung/Noise2Score

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Noise2Score: Tweedie's Approach to Self-Supervised Image Denoising without Clean Images

https://github.com/cuhk-aim-group/diffrect

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DiffRect: Latent Diffusion Label Rectification for Semi-supervised Medical Image Segmentation

https://github.com/cumulo-autumn/streamdiffusion

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StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation

https://github.com/cvc-lab/patch-subspace-learning-autoencoder

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Deep Contrastive Patch-Based Subspace Learning for Camera Image Signal Processing

https://github.com/cvignac/digress

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DiGress: Discrete Denoising diffusion for graph generation

https://github.com/cvignac/midi

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MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation

https://github.com/cwc1260/handdagt

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HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation

https://github.com/cy623/r2lp

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Resurrecting Label Propagation for Graphs with Heterophily and Label Noise

https://github.com/cylumn/daare

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Removing Radio Frequency Interference from Auroral Kilometric Radiation with Stacked Autoencoders

https://github.com/cynicarlos/retinexrawmamba

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Retinex-RAWMamba: Bridging Demosaicing and Denoising for Low-Light RAW Image Enhancement

https://github.com/cyrilsterling/textgen

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How Control Information Influences Multilingual Text Image Generation and Editing?

https://github.com/cyrus2d/cyrus2dbase

공식 코드

Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2023

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