Abstract: The large field of view (FOV) of fisheye cameras makes them widely applied in many fields. However, a fisheye image contains bigger distortions than a traditional image does, resulting in ...

Abstract: We present a deep reinforcement learning method of progressive view inpainting for colored semantic point cloud scene completion under volume guidance, achieving high-quality scene ...

Abstract: High-efficient image compression is a critical requirement. In several scenarios where multiple modalities of data are captured by different sensors, the auxiliary information from other ...

Image Processing in Python for 3D image stacks, or IMPPY3D, is a software repository comprising mostly Python scripts that simplify post-processing and 3D shape characterization of grayscale image ...

Posted: September 3, 2025 | Last updated: September 4, 2025 Photoshop CC 2014 tutorial showing how to burn or brand an image into wood.

Abstract: Multi-object tracking (MOT) plays a critical role in applications such as autonomous driving and surveillance. Camera-based approaches offer rich texture features for object association, ...

TL;DR: FreeReg extracts cross-modality features from pretrained diffusion models and monocular depth estimators for accurate zero-shot image-to-point cloud registration. Abstract: Matching ...

NTIRE (New Trends in Image Restoration and Enhancement) workshop at CVPR 2025 🔥 This repo is back and will be updated with many more works! Check the tutorial for generating degraded RAW images! You ...

Abstract: Single-image 3-D reconstruction has long been a challenging problem. Recent deep learning approaches have been introduced to this 3-D area, but the ability to generate point clouds still ...

Abstract: India stands as a prominent nation where a significant segment of its population is deeply involved in the agricultural domain. Undoubtedly, the significance of agriculture cannot be ...

Abstract: Cross-domain classification of hyperspectral remote sensing images is one of the hotspots of research in recent years, and its main problem is insufficient training samples. To address this ...