
High spatial resolution three-dimensional mapping of vegetation ...
2013年9月1日 · By combining automated UAS image acquisition with state-of-the-art computer vision algorithms, consistent and repeatable high-spatial resolution 3D point clouds of vegetation were …
High-Resolution Image Synthesis with Latent Diffusion Models
Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation Diffusion models are the main driver of progress in image and video synthesis, but suffer from slow inference speed. …
Very high resolution canopy height maps from RGB imagery using self ...
2024年1月1日 · This study presents high-resolution canopy height maps at a jurisdictionial scale based on VHR (Maxar) optical imagery trained on aerial lidar and calibrated with spaceborn lidar (GEDI) …
Deep High-Resolution Representation Learning for Visual …
2020年4月1日 · Deep High-Resolution Representation Learning for Visual Recognition Abstract: High-resolution representations are essential for position-sensitive vision problems, such as human pose …
CVPR 2022 Open Access Repository
Restormer: Efficient Transformer for High-Resolution Image Restoration Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang; Proceedings of the …
Restormer: Efficient Transformer for High-Resolution Image Restoration
2021年11月18日 · Since convolutional neural networks (CNNs) perform well at learning generalizable image priors from large-scale data, these models have been extensively applied to image restoration …
Taming Transformers for High-Resolution Image Synthesis
Taming Transformers for High-Resolution Image Synthesis Patrick Esser *, Robin Rombach *, Björn Ommer * equal contribution tl;dr We combine the efficiancy of convolutional approaches with the …
A lightweight high-frequency mamba network for image super-resolution
2025年7月17日 · Image super-resolution (SR) is a fundamental task in the field of computer vision, aiming to reconstruct high-resolution (HR) images from low-resolution (LR) inputs to enhance image …
Additionally, we propose a wavelet-based fine-tuning method that emphasizes high-frequency compo-nents while preserving low-frequent approximation in ultra-high-resolution image synthesis. Notably, …
High-resolution image synthesis with latent diffusion models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 10684–10695, 2022. 2 [38] Chitwan …