IDTransformer: Transformer for Intrinsic Image Decomposition

Intrinsicdiffusion: Joint intrinsic layers from latent diffusion models

J Luo, D Ceylan, JS Yoon, N Zhao, J Philip… - ACM SIGGRAPH 2024 …, 2024 - dl.acm.org
Reasoning about the intrinsic properties of an image, such as albedo, illumination, and
surface geometry, is a long-standing problem with many applications in image editing and …
被引用次数：7 相关文章 所有 3 个版本
[PDF] arxiv.org

You Only Look Around: Learning Illumination Invariant Feature for Low-light Object Detection

M Hong, S Cheng, H Huang, H Fan, S Liu - arXiv preprint arXiv …, 2024 - arxiv.org
In this paper, we introduce YOLA, a novel framework for object detection in low-light
scenarios. Unlike previous works, we propose to tackle this challenging problem from the …
相关文章 所有 3 个版本

Intrinsic Image Decomposition Based on Retinex Theory, Superpixel Segmentation and Scale-Space Computations

D Ulucan, O Ulucan, M Ebner - International Workshop on Computational …, 2024 - Springer
Intrinsic image decomposition enables us to estimate the low-level features of images. Due
to the benefits it provides and the challenges it holds, intrinsic image decomposition has …
相关文章 所有 3 个版本