causal inference 1content-noise disentanglement 1environmental bias adjustment 1image denoising 1real-time processing 1vision transformers 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CV2026
Teacher-Guided Causal Interventions for Image Denoising: Orthogonal Content-Noise Disentanglement in Vision Transformers
Kuai Jiang, Zhaoyan Ding, Guijuan Zhang +2
The paper introduces TCD-Net, a vision‑transformer based image denoising model that uses teacher‑guided causal interventions to separate image content from noise, employing environ…
cs.CV2024
Improving Domain Generalization in Self-supervised Monocular Depth Estimation via Stabilized Adversarial Training
Yuanqi Yao, Gang Wu, Kui Jiang +4
Learning a self-supervised Monocular Depth Estimation (MDE) model with great generalization remains significantly challenging. Despite the success of adversarial augmentation in th…
cs.CV2024
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation
Lingdong Kong, Yaru Niu, Shaoyuan Xie +39
Accurate depth estimation under out-of-distribution (OoD) scenarios, such as adverse weather conditions, sensor failure, and noise contamination, is desirable for safety-critical a…