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Tone Mapping
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
End-to-end fully-binarized network design: from Generic Learned Thermometer to Block Pruning
Towards Realistic Low-Light Image Enhancement via ISP Driven Data Modeling
GS-I$^{3}$: Gaussian Splatting for Surface Reconstruction from Illumination-Inconsistent Images
GaussHDR: High Dynamic Range Gaussian Splatting via Learning Unified 3D and 2D Local Tone Mapping
UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion
Learning Differential Pyramid Representation for Tone Mapping
An End-to-End Real-World Camera Imaging Pipeline
Thermal Chameleon: Task-Adaptive Tone-mapping for Radiometric Thermal-Infrared images
Scene-Segmentation-Based Exposure Compensation for Tone Mapping of High Dynamic Range Scenes
Deep chroma compression of tone-mapped images
Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering
HDRGS: High Dynamic Range Gaussian Splatting
Towards Robust Monocular Depth Estimation in Non-Lambertian Surfaces
HDRSplat: Gaussian Splatting for High Dynamic Range 3D Scene Reconstruction from Raw Images
RMFA-Net: A Neural ISP for Real RAW to RGB Image Reconstruction
Parameter Blending for Multi-Camera Harmonization for Automotive Surround View Systems
Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis
HDRT: A Large-Scale Dataset for Infrared-Guided HDR Imaging
Bilateral Guided Radiance Field Processing
Semantic Aware Diffusion Inverse Tone Mapping
TGTM: TinyML-based Global Tone Mapping for HDR Sensors
Cut-FUNQUE: An Objective Quality Model for Compressed Tone-Mapped High Dynamic Range Videos
Joint Quality Assessment and Example-Guided Image Processing by Disentangling Picture Appearance from Content
Simple Image Signal Processing using Global Context Guidance
Subjective Quality Assessment of Compressed Tone-Mapped High Dynamic Range Videos
Deep Conditional HDRI: Inverse Tone Mapping via Dual Encoder-Decoder Conditioning Method
PQDynamicISP: Dynamically Controlled Image Signal Processor for Any Image Sensors Pursuing Perceptual Quality
Accelerating local laplacian filters on FPGAs
High Dynamic Range Image Tone Mapping Based on Layer Decomposition and Image Fusion
Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone Mapping
Perceptual Tone Mapping Model for High Dynamic Range Imaging
Redistributing the Precision and Content in 3D-LUT-based Inverse Tone-mapping for HDR/WCG Display
Improving Lens Flare Removal with General Purpose Pipeline and Multiple Light Sources Recovery
Generalized Lightness Adaptation with Channel Selective Normalization
High Dynamic Range Image Reconstruction via Deep Explicit Polynomial Curve Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.