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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/kaushal0494/ZmBART

공식 코드

ZmBART: An Unsupervised Cross-lingual Transfer Framework for Language Generation

https://github.com/kayzliu/godm

공식 코드

Data Augmentation for Supervised Graph Outlier Detection via Latent Diffusion Models

https://github.com/kbui1993/L1mL2Segmentation

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A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Color and Multiphase Image Segmentation

https://github.com/kbui1993/official_aitv_poisson_denoising

공식 코드

Weighted Anisotropic-Isotropic Total Variation for Poisson Denoising

https://github.com/kciiiman/dd_lnl

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Dataset Distillers Are Good Label Denoisers In the Wild

https://github.com/kdmsit/TGDMat

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Periodic Materials Generation using Text-Guided Joint Diffusion Model

https://github.com/keitakurita/robust_toxicity_detection

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Towards Robust Toxic Content Classification

https://github.com/keiv4n/igl

공식 코드

Informed Graph Learning By Domain Knowledge Injection and Smooth Graph Signal Representation

https://github.com/kevinegan31/argos

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Automatically identifying ordinary differential equations from data

https://github.com/kevinrojas1499/zod-mc

공식 코드

Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion

https://github.com/kevtimova/deep-sparse

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Sparse Coding with Multi-Layer Decoders using Variance Regularization

https://github.com/kexin-kxzhang/cd2-tsi

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Cross-Domain Conditional Diffusion Models for Time Series Imputation

https://github.com/khainb/rpsw

공식 코드

Sliced Wasserstein with Random-Path Projecting Directions

https://github.com/khaledkah/morered

공식 코드

Molecular relaxation by reverse diffusion with time step prediction

https://github.com/khb1698/drpose

공식 코드

Diffusion-based Pose Refinement and Muti-hypothesis Generation for 3D Human Pose Estimaiton

https://github.com/kherchouche-anouar/2DAE

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Detect and Defense Against Adversarial Examples in Deep Learning using Natural Scene Statistics and Adaptive Denoising

https://github.com/khhungg/MECG-E

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MECG-E: Mamba-based ECG Enhancer for Baseline Wander Removal

https://github.com/kidist-amde/adv-kd

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Adv-KD: Adversarial Knowledge Distillation for Faster Diffusion Sampling

https://github.com/kilian888/discrete_dppm_graphs

공식 코드

Diffusion Models for Graphs Benefit From Discrete State Spaces

https://github.com/kimiandj/slicedwass_abc

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Approximate Bayesian Computation with the Sliced-Wasserstein Distance

https://github.com/kirtsy/dermoscopicdataset

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Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification

https://github.com/kk42yy/costodet-ddpm

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CoStoDet-DDPM: Collaborative Training of Stochastic and Deterministic Models Improves Surgical Workflow Anticipation and Recognition

https://github.com/kligvasser/xUnit

공식 코드

Dense xUnit Networks

https://github.com/kmittle/ap-ldm

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AP-LDM: Attentive and Progressive Latent Diffusion Model for Training-Free High-Resolution Image Generation

https://github.com/knodle/knodle

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ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision

https://github.com/komyeongjin/specdiff-gan

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Adversarial Training of Denoising Diffusion Model Using Dual Discriminators for High-Fidelity Multi-Speaker TTS

https://github.com/kong13661/act

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ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models

https://github.com/kongdai123/consistency2

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Consistency^2: Consistent and Fast 3D Painting with Latent Consistency Models

https://github.com/kongds/prompt-bert

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PromptBERT: Improving BERT Sentence Embeddings with Prompts

https://github.com/kongzhecn/cfd-pad

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Fingerprint Presentation Attack Detection by Channel-wise Feature Denoising

https://github.com/kongzhecn/omg

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OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models

https://github.com/koninik/wordstylist

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WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models

https://github.com/kornia/kornia

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Kornia: an Open Source Differentiable Computer Vision Library for PyTorch

https://github.com/kpeng9510/hyprometa

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Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain Generalization

https://github.com/krennic999/mpi

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Masked Pre-training Enables Universal Zero-shot Denoiser

https://github.com/krishnaswamylab/heatgeo

공식 코드

A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction

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