27 citations · 28 across the 6 of their papers we have counts for
6 papers
PIFF: A Physics-Informed Generative Flow Model for Real-Time Flood Depth Mapping
ChunLiang Wu, Tsunhua Yang, Hungying Chen
Flood mapping is crucial for assessing and mitigating flood impacts, yet traditional methods like numerical modeling and aerial photography face limitations in efficiency and relia…
SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model
Armen Avetisyan, Christopher Xie, Henry Howard-Jenkins +11
We introduce SceneScript, a method that directly produces full scene models as a sequence of structured language commands using an autoregressive, token-based approach. Our propose…
OrienterNet: Visual Localization in 2D Public Maps with Neural Matching
Paul-Edouard Sarlin, Daniel DeTone, Tsun-Yi Yang +7
Humans can orient themselves in their 3D environments using simple 2D maps. Differently, algorithms for visual localization mostly rely on complex 3D point clouds that are expensiv…
Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation
Gil Avraham, Julian Straub, Tianwei Shen +7
This paper presents a framework that combines traditional keypoint-based camera pose optimization with an invertible neural rendering mechanism. Our proposed 3D scene representatio…
NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning
Tony Ng, Hyo Jin Kim, Vincent Lee +7
In the light of recent analyses on privacy-concerning scene revelation from visual descriptors, we develop descriptors that conceal the input image content. In particular, we propo…
UR2KiD: Unifying Retrieval, Keypoint Detection, and Keypoint Description without Local Correspondence Supervision
Tsun-Yi Yang, Duy-Kien Nguyen, Huub Heijnen +1
In this paper, we explore how three related tasks, namely keypoint detection, description, and image retrieval can be jointly tackled using a single unified framework, which is tra…