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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/DianboWork/FedDS

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Distantly Supervised Relation Extraction in Federated Settings

https://github.com/Dijkstra14/DreamSteerer

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DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models

https://github.com/Ding-Liu/DeepDenoising

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When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach

https://github.com/Ding-Liu/NLRN

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Non-Local Recurrent Network for Image Restoration

https://github.com/DonghwanKIM0101/MHCDIFF

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Multi-hypotheses Conditioned Point Cloud Diffusion for 3D Human Reconstruction from Occluded Images

https://github.com/Edresson/TTS-Portuguese-Corpus

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TTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian Portuguese

https://github.com/Embracing/GFPose

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GFPose: Learning 3D Human Pose Prior with Gradient Fields

https://github.com/EmergenceAI/Agent-E

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Agent-E: From Autonomous Web Navigation to Foundational Design Principles in Agentic Systems

https://github.com/Ending2015a/liepose-diffusion

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Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)

https://github.com/EsiksonX/RDSA

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RDSA: A Robust Deep Graph Clustering Framework via Dual Soft Assignment

https://github.com/EvaFlower/Pareto-guided-diffusion-model

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PROUD: PaRetO-gUided Diffusion Model for Multi-objective Generation

https://github.com/EvelynZhang-epiclab/DaTo

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Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free

https://github.com/ExplainableML/UncerGuidedI2I

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Uncertainty-Guided Progressive GANs for Medical Image Translation

https://github.com/Fabio-Gil-Z/IRUNet

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Blind microscopy image denoising with a deep residual and multiscale encoder/decoder network

https://github.com/FanChiMao/SRMNet

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Selective Residual M-Net for Real Image Denoising

https://github.com/FengleiFan/QAE

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Quadratic Autoencoder (Q-AE) for Low-dose CT Denoising

https://github.com/Fluidic-City-Lab/AutoJoin

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AutoJoin: Efficient Adversarial Training against Gradient-Free Perturbations for Robust Maneuvering via Denoising Autoencoder and Joint Learning

https://github.com/Forrest-Stone/SVV

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Shapley Value-driven Data Pruning for Recommender Systems

https://github.com/Francis-Rings/MotionFollower

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MotionFollower: Editing Video Motion via Lightweight Score-Guided Diffusion

https://github.com/Francis-Rings/StableAnimator

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StableAnimator: High-Quality Identity-Preserving Human Image Animation

https://github.com/FreedomGu/DiffPortrait3D

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DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View Synthesis

https://github.com/G-U-N/Stable-Consistency-Tuning

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Stable Consistency Tuning: Understanding and Improving Consistency Models

https://github.com/GMPavanLab/Descriptors

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A data driven approach to classify descriptors based on their efficiency in translating noisy trajectories into physically-relevant information

https://github.com/GabMartino/icrst_trst_autoencoder

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Are We Using Autoencoders in a Wrong Way?

https://github.com/GreyCC/DTLS

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Domain Transfer in Latent Space (DTLS) Wins on Image Super-Resolution -- a Non-Denoising Model

https://github.com/GuHuangAI/ADM-Public

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Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image Attenuation

https://github.com/GuanlinLee/FPD-for-Adversarial-Robustness

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Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder

https://github.com/GuoLanqing/Self-Convolution

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Exploiting Non-Local Priors via Self-Convolution For Highly-Efficient Image Restoration

https://github.com/GuoShi28/CBDNet

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Toward Convolutional Blind Denoising of Real Photographs

https://github.com/GuoShi28/GCP-Net

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Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst Images

https://github.com/HE-diffusion/HE-diffusion

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Privacy-Preserving Diffusion Model Using Homomorphic Encryption

https://github.com/HJ-harry/score-MRI

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Score-based diffusion models for accelerated MRI

https://github.com/HWQuantum/HistNet

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Robust super-resolution depth imaging via a multi-feature fusion deep network

https://github.com/Hammour-steak/ECDB

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Enhanced Control for Diffusion Bridge in Image Restoration

https://github.com/HanbaekLyu/NDL_paper

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Learning low-rank latent mesoscale structures in networks

https://github.com/HanbaekLyu/ONMF_ONTF_NDL

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Online matrix factorization for Markovian data and applications to Network Dictionary Learning

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