Scene reconstruction and visualization from internet photo collections: A survey
N Snavely - IPSJ Transactions on Computer Vision and …, 2011 - jstage.jst.go.jp
The Internet has become an unprecedented source of visual information about our world,
with millions of people uploading photos and videos to media-sharing sites at staggering …
with millions of people uploading photos and videos to media-sharing sites at staggering …
Sam-adapter: Adapting segment anything in underperformed scenes
The emergence of large models, also known as foundation models, has brought significant
advancements to AI research. One such model is Segment Anything (SAM), which is …
advancements to AI research. One such model is Segment Anything (SAM), which is …
SAM Fails to Segment Anything?--SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More
The emergence of large models, also known as foundation models, has brought significant
advancements to AI research. One such model is Segment Anything (SAM), which is …
advancements to AI research. One such model is Segment Anything (SAM), which is …
Dc-shadownet: Single-image hard and soft shadow removal using unsupervised domain-classifier guided network
Shadow removal from a single image is generally still an open problem. Most existing
learning-based methods use supervised learning and require a large number of paired …
learning-based methods use supervised learning and require a large number of paired …
Emlight: Lighting estimation via spherical distribution approximation
Illumination estimation from a single image is critical in 3D rendering and it has been
investigated extensively in the computer vision and computer graphic research community …
investigated extensively in the computer vision and computer graphic research community …
Stacked conditional generative adversarial networks for jointly learning shadow detection and shadow removal
Understanding shadows from a single image consists of two types of task in previous
studies, containing shadow detection and shadow removal. In this paper, we present a multi …
studies, containing shadow detection and shadow removal. In this paper, we present a multi …
Face spoof detection with image distortion analysis
Automatic face recognition is now widely used in applications ranging from deduplication of
identity to authentication of mobile payment. This popularity of face recognition has raised …
identity to authentication of mobile payment. This popularity of face recognition has raised …
Sparse needlets for lighting estimation with spherical transport loss
Accurate lighting estimation is challenging yet critical to many computer vision and computer
graphics tasks such as high-dynamic-range (HDR) relighting. Existing approaches model …
graphics tasks such as high-dynamic-range (HDR) relighting. Existing approaches model …
Single image portrait relighting
Lighting plays a central role in conveying the essence and depth of the subject in a portrait
photograph. Professional photographers will carefully control the lighting in their studio to …
photograph. Professional photographers will carefully control the lighting in their studio to …
[HTML][HTML] Underwater image enhancement via extended multi-scale Retinex
Underwater exploration has become an active research area over the past few decades.
The image enhancement is one of the challenges for those computer vision based …
The image enhancement is one of the challenges for those computer vision based …