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NR-IQA

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

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평가표

1

보존된 평가 기록

1

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/GuangluDong0728/SFD

공식 코드

Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality Assessment

https://github.com/barcodereader/yoto

공식 코드

You Only Train Once: A Unified Framework for Both Full-Reference and No-Reference Image Quality Assessment

https://github.com/handsomewzy/diffv2iqa

공식 코드

Diffusion Model Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality Assessment

https://github.com/mas94/adtrs

공식 코드

Attention Down-Sampling Transformer, Relative Ranking and Self-Consistency for Blind Image Quality Assessment

https://github.com/tianhewu/visualquality-r1

공식 코드

VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to Rank

https://github.com/uf-robopi/dgiqa

공식 코드

DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment

https://github.com/yuyi-sd/baiqa

공식 코드

Backdoor Attacks against No-Reference Image Quality Assessment Models via a Scalable Trigger

https://github.com/miccunifi/qualiclip

UHD-IQA Benchmark Database: Pushing the Boundaries of Blind Photo Quality Assessment

https://github.com/sunwei925/uiqa

AIM 2024 Challenge on UHD Blind Photo Quality Assessment

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