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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/Bai-YT/ConsistencyTTA

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ConsistencyTTA: Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation

https://github.com/BarqueroGerman/FlowMDM

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Seamless Human Motion Composition with Blended Positional Encodings

https://github.com/Bartzi/one-model-to-reconstruct-them-all

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One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN

https://github.com/BienLuky/EDA-DM

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EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models

https://github.com/Big-Brother-Pikachu/Text2Mask

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From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion Models

https://github.com/BingyaoHuang/Neural-STE

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Modeling Deep Learning Based Privacy Attacks on Physical Mail

https://github.com/BorealisAI/noise_flow

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Noise Flow: Noise Modeling with Conditional Normalizing Flows

https://github.com/BorjaBalle/analytic-gaussian-mechanism

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Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising

https://github.com/Bradshard/Reinforcement_Learning/tree/main/rl_signal_filtering

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Composite Reward Design in PPO-Driven Adaptive Filtering

https://github.com/CACTuS-AI/GlowIP

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Invertible generative models for inverse problems: mitigating representation error and dataset bias

https://github.com/CCIIPLab/KGTN

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Knowledge Enhanced Multi-intent Transformer Network for Recommendation

https://github.com/CVxTz/fingerprint_denoising

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Deep End-to-end Fingerprint Denoising and Inpainting

https://github.com/CZWin32768/XLM-Align

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Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment

https://github.com/CalebFikes/MCRAGE-Emory_Math_REU_2023

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MCRAGE: Synthetic Healthcare Data for Fairness

https://github.com/CandleLabAI/MotionAura-ICLR-2025

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MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion

https://github.com/CedArctic/rnnoise-ex

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RNNoise-Ex: Hybrid Speech Enhancement System based on RNN and Spectral Features

https://github.com/ChenyangSi/FreeU

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FreeU: Free Lunch in Diffusion U-Net

https://github.com/ChuangtaoChen/QD3PM

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Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning

https://github.com/Chuge0335/EDG

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Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think

https://github.com/ChunjingXiao/CAGAD

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Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection

https://github.com/CoderWZW/QGrace

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Efficient Bi-Level Optimization for Recommendation Denoising

https://github.com/CognacS/ifh-model-graphgen

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IFH: a Diffusion Framework for Flexible Design of Graph Generative Models

https://github.com/Costwen/Ouroboros3D

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Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion

https://github.com/DCGM/B-MOD

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Brno Mobile OCR Dataset

https://github.com/DIAL-RPI/Task-Oriented-CT-Denoising_TOD-Net

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Task-Oriented Low-Dose CT Image Denoising

https://github.com/DIVA-DIA/Text-Line-Segmentation-Method-for-Medieval-Manuscripts

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Labeling, Cutting, Grouping: an Efficient Text Line Segmentation Method for Medieval Manuscripts

https://github.com/DLR-RM/AugmentedAutoencoder

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Implicit 3D Orientation Learning for 6D Object Detection from RGB Images

https://github.com/DTU-PAS/steered-marigold

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SteeredMarigold: Steering Diffusion Towards Depth Completion of Largely Incomplete Depth Maps

https://github.com/DZhaoXd/SND

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Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation

https://github.com/Dandy5721/GNN-PDE-COV

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Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals

https://github.com/DatrikIntelligence/D3A-TS-Denoising-Driven-Data-Augmentation-in-Time-Series

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D3A-TS: Denoising-Driven Data Augmentation in Time Series

https://github.com/DawyD/cnn-map-denoiser

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Image Restoration using Plug-and-Play CNN MAP Denoisers

https://github.com/DeMix2023/Demix

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Negative Sampling with Adaptive Denoising Mixup for Knowledge Graph Embedding

https://github.com/Deep-Imaging-Group/RED-WGAN

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Denoising of 3-D Magnetic Resonance Images Using a Residual Encoder-Decoder Wasserstein Generative Adversarial Network

https://github.com/DevSinghSachan/art

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Questions Are All You Need to Train a Dense Passage Retriever

https://github.com/DianDYu/language_embeddings

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Language Embeddings for Typology and Cross-lingual Transfer Learning

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.