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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/hkuds/diffgraph

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DiffGraph: Heterogeneous Graph Diffusion Model

https://github.com/hkuds/recdiff

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RecDiff: Diffusion Model for Social Recommendation

https://github.com/hkust-knowcomp/gold

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Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise Detection

https://github.com/hkzhang91/hinas

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Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration

https://github.com/hmdolatabadi/avatar

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The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models

https://github.com/hmshan/MAP-NN

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Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?

https://github.com/hoiliu-0801/dntr

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A DeNoising FPN With Transformer R-CNN for Tiny Object Detection

https://github.com/hojonathanho/diffusion

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Denoising Diffusion Probabilistic Models

https://github.com/hollinsStuart/dark

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DARK: Denoising, Amplification, Restoration Kit

https://github.com/hongbin98/drivegen

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DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion Generation

https://github.com/hongtao-argmin/cqnpm-gdd-cs-mri-reco

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Convergent Complex Quasi-Newton Proximal Methods for Gradient-Driven Denoisers in Compressed Sensing MRI Reconstruction

https://github.com/horseee/deepcache

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DeepCache: Accelerating Diffusion Models for Free

https://github.com/horseee/dkv-cache

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dKV-Cache: The Cache for Diffusion Language Models

https://github.com/horseee/learning-to-cache

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Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching

https://github.com/hotfinda/Compensation-sampling

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Compensation Sampling for Improved Convergence in Diffusion Models

https://github.com/house-yuyu/mdda-former

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Joint multi-dimensional dynamic attention and transformer for general image restoration

https://github.com/hqqxyy/msspl

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Fast Monte Carlo Rendering via Multi-Resolution Sampling

https://github.com/hren20/naivibridger

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Prior Does Matter: Visual Navigation via Denoising Diffusion Bridge Models

https://github.com/hrzhou2/adaptconv-master

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AGConv: Adaptive Graph Convolution on 3D Point Clouds

https://github.com/hsd1503/DL-ECG-Review

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Opportunities and Challenges of Deep Learning Methods for Electrocardiogram Data: A Systematic Review

https://github.com/hsoh0306/diffprosody

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DiffProsody: Diffusion-based Latent Prosody Generation for Expressive Speech Synthesis with Prosody Conditional Adversarial Training

https://github.com/htyjers/strdiffusion

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Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting

https://github.com/hu-zijing/b2-diffurl

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Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards

https://github.com/huage001/linfusion

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LinFusion: 1 GPU, 1 Minute, 16K Image

https://github.com/huai-chang/rdeic

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RDEIC: Accelerating Diffusion-Based Extreme Image Compression with Relay Residual Diffusion

https://github.com/huanpengchu/qncd

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QNCD: Quantization Noise Correction for Diffusion Models

https://github.com/huaqlili/prompt-sid

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Prompt-SID: Learning Structural Representation Prompt via Latent Diffusion for Single-Image Denoising

https://github.com/huaqlili/unsupervised-light-enhance-iclr2025

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Interpretable Unsupervised Joint Denoising and Enhancement for Real-World low-light Scenarios

https://github.com/huawei-noah/Pretrained-IPT

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Pre-Trained Image Processing Transformer

https://github.com/huawei-noah/Speech-Backbones

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SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training

https://github.com/huawei-noah/noah-research/tree/master/NLP/dylex

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DyLex: Incorporating Dynamic Lexicons into BERT for Sequence Labeling

https://github.com/hubarruby/maskpure

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MaskPure: Improving Defense Against Text Adversaries with Stochastic Purification

https://github.com/huggingface/diffusers

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Improving Sample Quality of Diffusion Models Using Self-Attention Guidance

https://github.com/huijieZH/Diffusion-Model-Generalizability

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Diffusion Models Learn Low-Dimensional Distributions via Subspace Clustering

https://github.com/huixin-zhan-ai/surgeon_style_fingerprinting

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Surgeon Style Fingerprinting and Privacy Risk Quantification via Discrete Diffusion Models in a Vision-Language-Action Framework

https://github.com/huizhang0812/diffusionad

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DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection

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