Results 11 to 20 of about 3,157,150 (392)
Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion Models [PDF]
This is a technical report on the 360-degree panoramic image generation task based on diffusion models. Unlike ordinary 2D images, 360-degree panoramic images capture the entire $360^\circ\times 180^\circ$ field of view. So the rightmost and the leftmost sides of the 360 panoramic image should be continued, which is the main challenge in this field ...
Mengyang Feng+3 more
arxiv +2 more sources
Dual-fisheye lens stitching for 360-degree imaging [PDF]
Dual-fisheye lens cameras have been increasingly used for 360-degree immersive imaging. However, the limited overlapping field of views and misalignment between the two lenses give rise to visible discontinuities in the stitching boundaries.
Budagavi, Madhukar, Ho, Tuan
core +2 more sources
A Deep Ranking Model for Spatio-Temporal Highlight Detection from a 360 Video [PDF]
We address the problem of highlight detection from a 360 degree video by summarizing it both spatially and temporally. Given a long 360 degree video, we spatially select pleasantly-looking normal field-of-view (NFOV) segments from unlimited field of ...
Kang, Jaeyun+4 more
core +2 more sources
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields [PDF]
Though neural radiance fields (NeRF) have demon-strated impressive view synthesis results on objects and small bounded regions of space, they struggle on “un-bounded” scenes, where the camera may point in any di-rection and content may exist at any ...
J. Barron+4 more
semanticscholar +1 more source
KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D [PDF]
For the last few decades, several major subfields of artificial intelligence including computer vision, graphics, and robotics have progressed largely independently from each other.
Yiyi Liao, Jun Xie, Andreas Geiger
semanticscholar +1 more source
NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes [PDF]
Recent implicit neural representations have shown great results for novel view synthesis. However, existing methods require expensive per-scene optimization from many views hence limiting their application to real-world unbounded urban settings where the
Muhammad Zubair Irshad+7 more
semanticscholar +1 more source
NeuralLift-360: Lifting an in-the-Wild 2D Photo to A 3D Object with 360° Views [PDF]
Virtual reality and augmented reality (XR) bring increasing demand for 3D content generation. However, creating high-quality 3D content requires tedious work from a human expert.
Dejia Xu+5 more
semanticscholar +1 more source
OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion [PDF]
A well-known challenge in applying deep-learning methods to omnidirectional images is spherical distortion. In dense regression tasks such as depth estimation, where structural details are required, using a vanilla CNN layer on the distorted 360 image ...
Yu-yang Li+5 more
semanticscholar +1 more source
On the group of order 360 [PDF]
Karel Rychlík
openaire +2 more sources
First Application of 360-Degree Camera Technology to Marine Predator Bio-Logging
Animal-borne video camera systems have long-been used to capture the fine-scale behaviors and unknown aspects of the biology of marine animals. However, their utility to serve as robust scientific tools in the greater bio-logging research community has ...
Austin J. Gallagher+5 more
doaj +1 more source