Papers HDR Reconstruction
“HDR Reconstruction” 태그가 달린 논문 45편 · 필터 해제
S2R-HDR: A Large-Scale Rendered Dataset for HDR Fusion
The generalization of learning-based high dynamic range (HDR) fusion is often limited by the availability of training data, as collecting large-scale HDR images from dynamic scenes is both costly and technically challeng…
Domain AdaptationHDR ReconstructionBoosting HDR Image Reconstruction via Semantic Knowledge Transfer
Recovering High Dynamic Range (HDR) images from multiple Low Dynamic Range (LDR) images becomes challenging when the LDR images exhibit noticeable degradation and missing content. Leveraging scene-specific semantic prior…
HDR ReconstructionImage ReconstructionTransfer LearningGain-MLP: Improving HDR Gain Map Encoding via a Lightweight MLP
While most images shared on the web and social media platforms are encoded in standard dynamic range (SDR), many displays now can accommodate high dynamic range (HDR) content. Additionally, modern cameras can capture ima…
HDR ReconstructionImage CompressionGaussHDR: 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 MappingEventHDR: from Event to High-Speed HDR Videos and Beyond
Event cameras are innovative neuromorphic sensors that asynchronously capture the scene dynamics. Due to the event-triggering mechanism, such cameras record event streams with much shorter response latency and higher int…
Depth EstimationHDR ReconstructionMonocular Depth Estimationobject-detection+2Intrinsic Single-Image HDR Reconstruction
The low dynamic range (LDR) of common cameras fails to capture the rich contrast in natural scenes, resulting in loss of color and details in saturated pixels. Reconstructing the high dynamic range (HDR) of luminance pre…
HDR ReconstructionSingle-Image-Based Hdr ReconstructionGenerating Content for HDR Deghosting from Frequency View
Recovering ghost-free High Dynamic Range (HDR) images from multiple Low Dynamic Range (LDR) images becomes challenging when the LDR images exhibit saturation and significant motion. Recent Diffusion Models (DMs) have bee…
HDR ReconstructionregressionSingle-Image HDR Reconstruction Assisted Ghost Suppression and Detail Preservation Network for Multi-Exposure HDR Imaging
The reconstruction of high dynamic range (HDR) images from multi-exposure low dynamic range (LDR) images in dynamic scenes presents significant challenges, especially in preserving and restoring information in oversatura…
HDR ReconstructionImage ReconstructionPano-NeRF: Synthesizing High Dynamic Range Novel Views with Geometry from Sparse Low Dynamic Range Panoramic Images
Panoramic imaging research on geometry recovery and High Dynamic Range (HDR) reconstruction becomes a trend with the development of Extended Reality (XR). Neural Radiance Fields (NeRF) provide a promising scene represent…
HDR ReconstructionLighting EstimationNeRFParamISP: Learned Forward and Inverse ISPs using Camera Parameters
RAW images are rarely shared mainly due to its excessive data size compared to their sRGB counterparts obtained by camera ISPs. Learning the forward and inverse processes of camera ISPs has been recently demonstrated, en…
DeblurringHDR ReconstructionSelf-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes
Merging multi-exposure images is a common approach for obtaining high dynamic range (HDR) images, with the primary challenge being the avoidance of ghosting artifacts in dynamic scenes. Recent methods have proposed using…
HDR ReconstructionLearning Continuous Exposure Value Representations for Single-Image HDR Reconstruction
Deep learning is commonly used to reconstruct HDR images from LDR images. LDR stack-based methods are used for single-image HDR reconstruction, generating an HDR image from a deep learning-generated LDR stack. However, c…
Deep LearningHDR Reconstructioninverse tone mappingRawHDR: High Dynamic Range Image Reconstruction from a Single Raw Image
High dynamic range (HDR) images capture much more intensity levels than standard ones. Current methods predominantly generate HDR images from 8-bit low dynamic range (LDR) sRGB images that have been degraded by the camer…
HDR ReconstructionImage ReconstructionHigh Dynamic Range Image Reconstruction via Deep Explicit Polynomial Curve Estimation
Due to limited camera capacities, digital images usually have a narrower dynamic illumination range than real-world scene radiance. To resolve this problem, High Dynamic Range (HDR) reconstruction is proposed to recover …
HDR ReconstructionImage ReconstructionSingle-Image-Based Hdr ReconstructionSingle-shot HDR Reconstruction+1Efficient HDR Reconstruction from Real-World Raw Images
The widespread usage of high-definition screens on edge devices stimulates a strong demand for efficient high dynamic range (HDR) algorithms. However, many existing HDR methods either deliver unsatisfactory results or co…
4kDenoisingGPUHDR Reconstruction+1HDR Video Reconstruction with a Large Dynamic Dataset in Raw and sRGB Domains
High dynamic range (HDR) video reconstruction is attracting more and more attention due to the superior visual quality compared with those of low dynamic range (LDR) videos. The availability of LDR-HDR training pairs is …
HDR ReconstructionVideo ReconstructionLocal-to-Global Panorama Inpainting for Locale-Aware Indoor Lighting Prediction
Predicting panoramic indoor lighting from a single perspective image is a fundamental but highly ill-posed problem in computer vision and graphics. To achieve locale-aware and robust prediction, this problem can be decom…
HDR ReconstructionJoint Demosaicing and Deghosting of Time-Varying Exposures for Single-Shot HDR Imaging
The quad-Bayer patterned image sensor has made significant improvements in spatial resolution over recent years due to advancements in image sensor technology. This has enabled single-shot high-dynamic-range (HDR) im…
DemosaickingHDR ReconstructionLHDR: HDR Reconstruction for Legacy Content using a Lightweight DNN
High dynamic range (HDR) image is widely-used in graphics and photography due to the rich information it contains. Recently the community has started using deep neural network (DNN) to reconstruct standard dynamic range …
HDR ReconstructionHDRfeat: A Feature-Rich Network for High Dynamic Range Image Reconstruction
A major challenge for high dynamic range (HDR) image reconstruction from multi-exposed low dynamic range (LDR) images, especially with dynamic scenes, is the extraction and merging of relevant contextual features in orde…
HDR ReconstructionImage ReconstructionVocal Bursts Intensity Prediction