Papers Tone Mapping
“Tone Mapping” 태그가 달린 논문 128편 · 필터 해제
RealRep: Generalized SDR-to-HDR Conversion with Style Disentangled Representation Learning
High-Dynamic-Range Wide-Color-Gamut (HDR-WCG) technology is becoming increasingly prevalent, intensifying the demand for converting Standard Dynamic Range (SDR) content to HDR. Existing methods primarily rely on fixed to…
inverse tone mappingInverse-Tone-MappingRepresentation LearningTone MappingEnd-to-end fully-binarized network design: from Generic Learned Thermometer to Block Pruning
Existing works on Binary Neural Network (BNN) mainly focus on model's weights and activations while discarding considerations on the input raw data. This article introduces Generic Learned Thermometer (GLT), an encoding …
Knowledge DistillationQuantizationTone MappingTowards Realistic Low-Light Image Enhancement via ISP Driven Data Modeling
Deep neural networks (DNNs) have recently become the leading method for low-light image enhancement (LLIE). However, despite significant progress, their outputs may still exhibit issues such as amplified noise, incorrect…
Image EnhancementLow-Light Image EnhancementTone MappingGS-I$^{3}$: Gaussian Splatting for Surface Reconstruction from Illumination-Inconsistent Images
Accurate geometric surface reconstruction, providing essential environmental information for navigation and manipulation tasks, is critical for enabling robotic self-exploration and interaction. Recently, 3D Gaussian Spl…
3DGSComputational EfficiencyNovel View SynthesisSurface Reconstruction+1GaussHDR: High Dynamic Range Gaussian Splatting via Learning Unified 3D and 2D Local Tone Mapping
High dynamic range (HDR) novel view synthesis (NVS) aims to reconstruct HDR scenes by leveraging multi-view low dynamic range (LDR) images captured at different exposure levels. Current training paradigms with 3D tone ma…
HDR ReconstructionNovel View SynthesisTone MappingUltraFusion: Ultra High Dynamic Imaging using Exposure Fusion
Capturing high dynamic range (HDR) scenes is one of the most important issues in camera design. Majority of cameras use exposure fusion technique, which fuses images captured by different exposure levels, to increase dyn…
Tone MappingLearning Differential Pyramid Representation for Tone Mapping
Previous tone mapping methods mainly focus on how to enhance tones in low-resolution images and recover details using the high-frequent components extracted from the input image. These methods typically rely on tradition…
Tone MappingAn End-to-End Real-World Camera Imaging Pipeline
Recent advances in neural camera imaging pipelines have demonstrated notable progress. Nevertheless, the real-world imaging pipeline still faces challenges including the lack of joint optimization in system components, c…
Image CompressionTone MappingThermal Chameleon: Task-Adaptive Tone-mapping for Radiometric Thermal-Infrared images
Thermal Infrared (TIR) imaging provides robust perception for navigating in challenging outdoor environments but faces issues with poor texture and low image contrast due to its 14/16-bit format. Conventional methods uti…
Depth EstimationImage RescalingMonocular Depth Estimationobject-detection+2Scene-Segmentation-Based Exposure Compensation for Tone Mapping of High Dynamic Range Scenes
We propose a novel scene-segmentation-based exposure compensation method for multi-exposure image fusion (MEF) based tone mapping. The aim of MEF-based tone mapping is to display high dynamic range (HDR) images on device…
Multi-Exposure Image FusionScene SegmentationTone MappingDeep chroma compression of tone-mapped images
Acquisition of high dynamic range (HDR) images is thriving due to the increasing use of smart devices and the demand for high-quality output. Extensive research has focused on developing methods for reducing the luminanc…
Generative Adversarial NetworkImage GenerationTone MappingPhotorealistic Object Insertion with Diffusion-Guided Inverse Rendering
The correct insertion of virtual objects in images of real-world scenes requires a deep understanding of the scene's lighting, geometry and materials, as well as the image formation process. While recent large-scale diff…
Inverse RenderingObjectTone MappingHDRGS: High Dynamic Range Gaussian Splatting
Recent years have witnessed substantial advancements in the field of 3D reconstruction from 2D images, particularly following the introduction of the neural radiance field (NeRF) technique. However, reconstructing a 3D h…
3D ReconstructionNeRFTone MappingTowards Robust Monocular Depth Estimation in Non-Lambertian Surfaces
In the field of monocular depth estimation (MDE), many models with excellent zero-shot performance in general scenes emerge recently. However, these methods often fail in predicting non-Lambertian surfaces, such as trans…
Depth EstimationMonocular Depth EstimationTone MappingHDRSplat: Gaussian Splatting for High Dynamic Range 3D Scene Reconstruction from Raw Images
The recent advent of 3D Gaussian Splatting (3DGS) has revolutionized the 3D scene reconstruction space enabling high-fidelity novel view synthesis in real-time. However, with the exception of RawNeRF, all prior 3DGS and …
3DGS3D Scene ReconstructionNeRFNovel View Synthesis+1RMFA-Net: A Neural ISP for Real RAW to RGB Image Reconstruction
Deep learning-based ISP algorithms have demonstrated significant potential in raw2rgb reconstruction. However, existing networks have not fully considered the specific characteristics of raw data, such as black level and…
Image ReconstructionTone MappingParameter Blending for Multi-Camera Harmonization for Automotive Surround View Systems
In a surround view system, the image color and tone captured by multiple cameras can be different due to cameras applying auto white balance (AWB), global tone mapping (GTM) individually for each camera. The color and br…
Tone MappingLighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis
Volumetric rendering based methods, like NeRF, excel in HDR view synthesis from RAWimages, especially for nighttime scenes. While, they suffer from long training times and cannot perform real-time rendering due to dense …
2k3DGSNeRFNovel View Synthesis+1HDRT: A Large-Scale Dataset for Infrared-Guided HDR Imaging
Capturing images with enough details to solve imaging tasks is a long-standing challenge in imaging, particularly due to the limitations of standard dynamic range (SDR) images which often lose details in underexposed or …
inverse tone mappingInverse-Tone-MappingTone MappingBilateral Guided Radiance Field Processing
Neural Radiance Fields (NeRF) achieves unprecedented performance in synthesizing novel view synthesis, utilizing multi-view consistency. When capturing multiple inputs, image signal processing (ISP) in modern cameras wil…
NeRFNovel View SynthesisTone Mapping