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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/littlewhitesea/stitchdiffusion

공식 코드

Customizing 360-Degree Panoramas through Text-to-Image Diffusion Models

https://github.com/littleyaang/hq-50k

공식 코드

HQ-50K: A Large-scale, High-quality Dataset for Image Restoration

https://github.com/liturout/psld

공식 코드

Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models

https://github.com/liugangcode/MCD

공식 코드

Graph Diffusion Transformers for Multi-Conditional Molecular Generation

https://github.com/liugangcode/data_centric_transfer

공식 코드

Data-Centric Learning from Unlabeled Graphs with Diffusion Model

https://github.com/liuhanze623/adarenet

공식 코드

Rotation-Equivariant Self-Supervised Method in Image Denoising

https://github.com/liusulin/ddpd

공식 코드

Think While You Generate: Discrete Diffusion with Planned Denoising

https://github.com/liutongkun/edgrec

공식 코드

Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection

https://github.com/liuxiangyuan/mba

공식 코드

Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment

https://github.com/liuyang12/PnP-SCI

공식 코드

Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging

https://github.com/liuyang12/PnP-SCI_python

공식 코드

Plug-and-Play Algorithms for Video Snapshot Compressive Imaging

https://github.com/liuyixin-louis/metacloak

공식 코드

MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning

https://github.com/liweitianux/cdae-eor

공식 코드

Separating the EoR Signal with a Convolutional Denoising Autoencoder: A Deep-learning-based Method

https://github.com/liwenchao0615/zerrinnet

공식 코드

Zero-Shot Enhancement of Low-Light Image Based on Retinex Decomposition

https://github.com/liyang619/MAFENN_TRANS_2022

공식 코드

Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications

https://github.com/liyinibristol/Zero-TIG

공식 코드

Zero-TIG: Temporal Consistency-Aware Zero-Shot Illumination-Guided Low-light Video Enhancement

https://github.com/lizardp1/diffusion_low_noise_regime

공식 코드

Diffusion models under low-noise regime

https://github.com/ljholyground/obiformer

공식 코드

OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions

https://github.com/ljzycmd/scd

공식 코드

Consistent Human Image and Video Generation with Spatially Conditioned Diffusion

https://github.com/lll143653/amsnet

공식 코드

Asymmetric Mask Scheme for Self-Supervised Real Image Denoising

https://github.com/llmpass/medianDenoise

공식 코드

Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations

https://github.com/llnl/graphite

공식 코드

Score-based denoising for atomic structure identification

https://github.com/lmbxmu/cutdiffusion

공식 코드

CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation Method

https://github.com/locuslab/deq-ddim

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Deep Equilibrium Approaches to Diffusion Models

https://github.com/locuslab/jiio-deq

공식 코드

Joint inference and input optimization in equilibrium networks

https://github.com/lojol2327/DiffuPose

공식 코드

DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic Model

https://github.com/longbai1006/llcaps

공식 코드

LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion

https://github.com/longfafffa/SemiDDM-Weather

공식 코드

SemiDDM-Weather: A Semi-supervised Learning Framework for All-in-one Adverse Weather Removal

https://github.com/longinyu/sivism

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Semi-Implicit Variational Inference via Score Matching

https://github.com/longzilicart/pip_universal

공식 코드

Prompt-In-Prompt Learning for Universal Image Restoration

https://github.com/louaaron/score-entropy-discrete-diffusion

공식 코드

Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution

https://github.com/lpengyang/motionclone

공식 코드

MotionClone: Training-Free Motion Cloning for Controllable Video Generation

https://github.com/lpj-github-io/MWCNNv2

공식 코드

Multi-level Wavelet Convolutional Neural Networks

https://github.com/lpj0/MWCNN

공식 코드

Multi-level Wavelet-CNN for Image Restoration

https://github.com/lpj0/bde

공식 코드

Robust Deep Ensemble Method for Real-world Image Denoising

https://github.com/lronkitty/ssrt

공식 코드

Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer

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