Neural spline fields for burst image fusion and layer separation

I Chugunov, D Shustin, R Yan… - Proceedings of the …, 2024 - openaccess.thecvf.com
Each photo in an image burst can be considered a sample of a complex 3D scene: the
product of parallax diffuse and specular materials scene motion and illuminant variation …

Aoneus: A neural rendering framework for acoustic-optical sensor fusion

M Qadri, K Zhang, A Hinduja, M Kaess… - ACM SIGGRAPH 2024 …, 2024 - dl.acm.org
Underwater perception and 3D surface reconstruction are challenging problems with broad
applications in construction, security, marine archaeology, and environmental monitoring …

TurboSL: Dense Accurate and Fast 3D by Neural Inverse Structured Light

P Mirdehghan, M Wu, W Chen… - Proceedings of the …, 2024 - openaccess.thecvf.com
We show how to turn a noisy and fragile active triangulation technique--three-pattern
structured light with a grayscale camera--into a fast and powerful tool for 3D capture: able to …

Neural light spheres for implicit image stitching and view synthesis

I Chugunov, A Joshi, K Murthy, F Bleibel… - SIGGRAPH Asia 2024 …, 2024 - dl.acm.org
Challenging to capture, and challenging to display on a cellphone screen, the panorama
paradoxically remains both a staple and underused feature of modern mobile camera …

PV-Cap: 3D Dynamic Scene Understanding Through Open Physics-based Vocabulary

H Sakaino, TN Phuong, VN Duy - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Abstract Recently large Vision Language (VL) models ie CLIP have demonstrated
impressive capabilities in training solely on internet-scale image-language pairs. Moreover …

Refinement of Monocular Depth Maps via Multi-View Differentiable Rendering

L Fink, L Franke, J Keinert, M Stamminger - arXiv preprint arXiv …, 2024 - arxiv.org
The accurate reconstruction of per-pixel depth for an image is vital for many tasks in
computer graphics, computer vision, and robotics. In this paper, we present a novel …

Solutions to Deepfakes: Can Camera Hardware, Cryptography, and Deep Learning Verify Real Images?

A Vilesov, Y Tian, N Sehatbakhsh… - arXiv preprint arXiv …, 2024 - arxiv.org
The exponential progress in generative AI poses serious implications for the credibility of all
real images and videos. There will exist a point in the future where 1) digital content …

Fine Dense Alignment of Image Bursts through Camera Pose and Depth Estimation

B Lecouat, YD de Mont-Marin, T Bodrito… - arXiv preprint arXiv …, 2023 - arxiv.org
This paper introduces a novel approach to the fine alignment of images in a burst captured
by a handheld camera. In contrast to traditional techniques that estimate two-dimensional …

The Inverse Problems You Carry in Your Pocket

I Chugunov - XRDS: Crossroads, The ACM Magazine for Students, 2025 - dl.acm.org
In the spaces between data-hungry generative models and measurement-rich
computational imaging, we can find the field of computational photography. Can cell phone …

[PDF][PDF] Neural Spline Fields for Burst Image Fusion and Layer Separation (Supplementary Material)

I Chugunov, D Shustin, R Yan, CLF Heide - openaccess.thecvf.com
Data Acquisition To acquire paired obstructed and unobstructed captures, we construct two
tripod-mounted rigs as illustrated in Fig. 1 (ab). We begin by capturing a still of the scene …