Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Deep learning for hdr imaging: State-of-the-art and future trends
L Wang, KJ Yoon - IEEE transactions on pattern analysis and …, 2021 - ieeexplore.ieee.org
High dynamic range (HDR) imaging is a technique that allows an extensive dynamic range
of exposures, which is important in image processing, computer graphics, and computer …
of exposures, which is important in image processing, computer graphics, and computer …
Making images real again: A comprehensive survey on deep image composition
As a common image editing operation, image composition aims to combine the foreground
from one image and another background image, resulting in a composite image. However …
from one image and another background image, resulting in a composite image. However …
Editable scene simulation for autonomous driving via collaborative llm-agents
Scene simulation in autonomous driving has gained significant attention because of its huge
potential for generating customized data. However existing editable scene simulation …
potential for generating customized data. However existing editable scene simulation …
Neural fields meet explicit geometric representations for inverse rendering of urban scenes
Reconstruction and intrinsic decomposition of scenes from captured imagery would enable
many applications such as relighting and virtual object insertion. Recent NeRF based …
many applications such as relighting and virtual object insertion. Recent NeRF based …
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 …
Shadow generation for composite image using diffusion model
In the realm of image composition generating realistic shadow for the inserted foreground
remains a formidable challenge. Previous works have developed image-to-image …
remains a formidable challenge. Previous works have developed image-to-image …
Rain rendering for evaluating and improving robustness to bad weather
Rain fills the atmosphere with water particles, which breaks the common assumption that
light travels unaltered from the scene to the camera. While it is well-known that rain affects …
light travels unaltered from the scene to the camera. While it is well-known that rain affects …
Learning indoor inverse rendering with 3d spatially-varying lighting
In this work, we address the problem of jointly estimating albedo, normals, depth and 3D
spatially-varying lighting from a single image. Most existing methods formulate the task as …
spatially-varying lighting from a single image. Most existing methods formulate the task as …
Deep sky modeling for single image outdoor lighting estimation
We propose a data-driven learned sky model, which we use for outdoor lighting estimation
from a single image. As no large-scale dataset of images and their corresponding ground …
from a single image. As no large-scale dataset of images and their corresponding ground …
Arshadowgan: Shadow generative adversarial network for augmented reality in single light scenes
D Liu, C Long, H Zhang, H Yu… - Proceedings of the …, 2020 - openaccess.thecvf.com
Generating virtual object shadows consistent with the real-world environment shading
effects is important but challenging in computer vision and augmented reality applications …
effects is important but challenging in computer vision and augmented reality applications …