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Photo Retouching
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
PhotoArtAgent: Intelligent Photo Retouching with Language Model-Based Artist Agents
Multi-turn Consistent Image Editing
Discovering an Image-Adaptive Coordinate System for Photography Processing
IDEA-Bench: How Far are Generative Models from Professional Designing?
INRetouch: Context Aware Implicit Neural Representation for Photography Retouching
NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement
RSFNet: A White-Box Image Retouching Approach using Region-Specific Color Filters
Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement
One-shot Detail Retouching with Patch Space Neural Transformation Blending
SepLUT: Separable Image-adaptive Lookup Tables for Real-time Image Enhancement
Controllable Image Enhancement
Cascade Luminance and Chrominance for Image Retouching: More Like Artist
AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancement
Structure-Aware Flow Generation for Human Body Reshaping
MAXIM: Multi-Axis MLP for Image Processing
Learning Pixel-Adaptive Weights for Portrait Photo Retouching
PPR10K: A Large-Scale Portrait Photo Retouching Dataset with Human-Region Mask and Group-Level Consistency
High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network
Very Lightweight Photo Retouching Network with Conditional Sequential Modulation
Conditional Sequential Modulation for Efficient Global Image Retouching
A Generative Adversarial Approach with Residual Learning for Dust and Scratches Artifacts Removal
CURL: Neural Curve Layers for Global Image Enhancement
Deep Semantics-Aware Photo Adjustment
Automatic Photo Adjustment Using Deep Neural Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.