Papers with Code 아카이브
Image Inpainting
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/avinashpaliwal/ReShader
공식 코드ReShader: View-Dependent Highlights for Single Image View-Synthesis
https://github.com/avisekiit/TCSVT-LightWeight-CNNs
공식 코드Lightweight Modules for Efficient Deep Learning based Image Restoration
https://github.com/ballerin/v1diffusion
공식 코드Geometry of the Visual Cortex with Applications to Image Inpainting and Enhancement
https://github.com/benMen87/AppriximateConvolutionalSparseCoding
공식 코드https://github.com/bertabescos/EmptyCities
공식 코드Empty Cities: Image Inpainting for a Dynamic-Object-Invariant Space
https://github.com/bhartendu-kumar/pnp-conv
공식 코드https://github.com/birdortyedi/fashion-image-inpainting
공식 코드A Benchmark for Inpainting of Clothing Images with Irregular Holes
https://github.com/blackprotoss/gsdm
공식 코드Text Image Inpainting via Global Structure-Guided Diffusion Models
https://github.com/blt2114/twisted_diffusion_sampler
공식 코드Practical and Asymptotically Exact Conditional Sampling in Diffusion Models
https://github.com/bo-wang-up/prime
공식 코드Topology Optimization of Random Memristors for Input-Aware Dynamic SNN
https://github.com/bobo0303/LIGHTWEIGHT-IMAGE-INPAINTING-BY-STRIPE-WINDOW-TRANSFORMER-WITH-JOINT-ATTENTION-TO-CNN
공식 코드Lightweight Image Inpainting by Stripe Window Transformer with Joint Attention to CNN
https://github.com/boranhan/geospatial_foundation_models
공식 코드Bridging Remote Sensors with Multisensor Geospatial Foundation Models
https://github.com/buds-lab/filling-time-series-gaps-using-image-techniques
공식 코드https://github.com/buxiangzhiren/asymmetric_vqgan
공식 코드https://github.com/caiziruo/nf-ula
공식 코드NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems
https://github.com/cameltr/rgtsi
공식 코드Reference-Guided Texture and Structure Inference for Image Inpainting
https://github.com/cameltr/transref
공식 코드TransRef: Multi-Scale Reference Embedding Transformer for Reference-Guided Image Inpainting
https://github.com/casus/phirm
공식 코드Phenotype-preserving metric design for high-content image reconstruction by generative inpainting
https://github.com/cbhu523/saliency_last_way_finding
공식 코드A Saliency-Guided Street View Image Inpainting Framework for Efficient Last-Meters Wayfinding
https://github.com/chengyiliu-cs/generative-diffusion-models-on-graphs
공식 코드Generative Diffusion Models on Graphs: Methods and Applications
https://github.com/chrischen1023/hint
공식 코드HINT: High-quality INPainting Transformer with Mask-Aware Encoding and Enhanced Attention
https://github.com/chrischen1023/mxt
공식 코드https://github.com/chrischen1023/nclg-mt
공식 코드A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip
https://github.com/chrischen1023/sem-net
공식 코드SEM-Net: Efficient Pixel Modelling for image inpainting with Spatially Enhanced SSM
https://github.com/claudio-unipv/offset-equivariant
공식 코드https://github.com/csxmli2016/SymmFCNet
공식 코드https://github.com/cvlab-tohoku/DSEBImageInpainting
공식 코드https://github.com/daniela997/filmdamagesimulator
공식 코드Simulating analogue film damage to analyse and improve artefact restoration on high-resolution scans
https://github.com/davide-belli/context-encoding-chest-xrays
공식 코드https://github.com/deng-ai-lab/swformer
공식 코드https://github.com/dengyecode/t-former
공식 코드https://github.com/dengyecode/t-former_image_inpainting
공식 코드https://github.com/dependablesystemslab/jujutsu
공식 코드Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural Networks
https://github.com/dqiaole/zits_inpainting
공식 코드Incremental Transformer Structure Enhanced Image Inpainting with Masking Positional Encoding
https://github.com/dragonylee/facecom
공식 코드FaceCom: Towards High-fidelity 3D Facial Shape Completion via Optimization and Inpainting Guidance
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.