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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/nikopj/groupcdl-tip

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Fast and Interpretable Nonlocal Neural Networks for Image Denoising via Group-Sparse Convolutional Dictionary Learning

https://github.com/nilotpal09/superresolutionhep

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Denoising Graph Super-Resolution towards Improved Collider Event Reconstruction

https://github.com/ninikolov/summary-denoising

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Summary Refinement through Denoising

https://github.com/nish03/FusionINN

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FusionINN: Decomposable Image Fusion for Brain Tumor Monitoring

https://github.com/niuchuangnn/noise2sim

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Suppression of Correlated Noise with Similarity-based Unsupervised Deep Learning

https://github.com/njusthyk1972/NLH

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NLH: A Blind Pixel-level Non-local Method for Real-world Image Denoising

https://github.com/nkicsl/resfusion

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Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise

https://github.com/nmank/FD

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A Flag Decomposition for Hierarchical Datasets

https://github.com/nmudur/diffusion-models-astrophysical-fields-mlps

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Can denoising diffusion probabilistic models generate realistic astrophysical fields?

https://github.com/nnaisense/mems

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Multimeasurement Generative Models

https://github.com/nnn-s/catdiffusion

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Improving Text-guided Object Inpainting with Semantic Pre-inpainting

https://github.com/noamelata/nesteddiffusion

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Nested Diffusion Processes for Anytime Image Generation

https://github.com/nobody-1617/deta

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DETA: Denoised Task Adaptation for Few-Shot Learning

https://github.com/novasearch/cosed

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Contrastive Sequential-Diffusion Learning: Non-linear and Multi-Scene Instructional Video Synthesis

https://github.com/nttcslab/deep-sound-field-denoiser

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Deep sound-field denoiser: optically-measured sound-field denoising using deep neural network

https://github.com/nttcslab/eval-audio-repr

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Masked Modeling Duo: Towards a Universal Audio Pre-training Framework

https://github.com/nttcslab/m2d

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Masked Modeling Duo for Speech: Specializing General-Purpose Audio Representation to Speech using Denoising Distillation

https://github.com/nttcslab/soundsil-ds

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SoundSil-DS: Deep Denoising and Segmentation of Sound-field Images with Silhouettes

https://github.com/nurlanov-zh/sublabel-accurate-alpha-expansion

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Efficient and Flexible Sublabel-Accurate Energy Minimization

https://github.com/nus-hpc-ai-lab/haste

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REPA Works Until It Doesn't: Early-Stopped, Holistic Alignment Supercharges Diffusion Training

https://github.com/nust-machine-intelligence-laboratory/mdba

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Multi-Granularity Denoising and Bidirectional Alignment for Weakly Supervised Semantic Segmentation

https://github.com/nv-tlabs/GENIE

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GENIE: Higher-Order Denoising Diffusion Solvers

https://github.com/nv-tlabs/LION

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LION: Latent Point Diffusion Models for 3D Shape Generation

https://github.com/nvidia/cleanunet

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Speech Denoising in the Waveform Domain with Self-Attention

https://github.com/nvidia/modulus-sym

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Reservoir History Matching of the Norne field with generative exotic priors and a coupled Mixture of Experts -- Physics Informed Neural Operator Forward Model

https://github.com/nvlabs/diffit

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DiffiT: Diffusion Vision Transformers for Image Generation

https://github.com/nvlabs/red-diff

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A Variational Perspective on Solving Inverse Problems with Diffusion Models

https://github.com/nxphi47/multiagent_crosstranslate

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Cross-model Back-translated Distillation for Unsupervised Machine Translation

https://github.com/nyu-dl/dl4mt-nonauto

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Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement

https://github.com/obaghirli/syn10-diffusion

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SatDM: Synthesizing Realistic Satellite Image with Semantic Layout Conditioning using Diffusion Models

https://github.com/ofsoundof/dhp

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DHP: Differentiable Meta Pruning via HyperNetworks

https://github.com/ohayonguy/PMRF

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Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration

https://github.com/oho43/COW

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Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation

https://github.com/oktaykarakus/Cauchy-Proximal-Splitting-CPS-Algorithm

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Convergence Guarantees for Non-Convex Optimisation with Cauchy-Based Penalties

https://github.com/oliverrensu/mvg

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Medical Vision Generalist: Unifying Medical Imaging Tasks in Context

https://github.com/omer11a/digital-gimbal

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Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure Times

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