5 papers
DeltaCam: Differential Intrinsic Camera Modeling for Video Generation
Debabrata Mandal, Zhihan Peng, Yujie Wang +1
Incorporating camera intrinsics into video generation models offers a principled way to control not only scene dynamics but also the imaging process that governs visual appearance.…
UnSCAR: Universal, Scalable, Controllable, and Adaptable Image Restoration
Debabrata Mandal, Soumitri Chattopadhyay, Yujie Wang +2
Universal image restoration aims to recover clean images from arbitrary real-world degradations using a single inference model. Despite significant progress, existing all-in-one re…
Enabling High-Quality In-the-Wild Imaging from Severely Aberrated Metalens Bursts
Debabrata Mandal, Zhihan Peng, Yujie Wang +1
We tackle the challenge of robust, in-the-wild imaging using ultra-thin nanophotonic metalens cameras. Meta-lenses, composed of planar arrays of nanoscale scatterers, promise drama…
Aberration Correcting Vision Transformers for High-Fidelity Metalens Imaging
Byeonghyeon Lee, Youbin Kim, Yongjae Jo +7
Metalens is an emerging optical system with an irreplaceable merit in that it can be manufactured in ultra-thin and compact sizes, which shows great promise in various applications…
UniCoRN: Latent Diffusion-based Unified Controllable Image Restoration Network across Multiple Degradations
Debabrata Mandal, Soumitri Chattopadhyay, Guansen Tong +1
Image restoration is essential for enhancing degraded images across computer vision tasks. However, most existing methods address only a single type of degradation (e.g., blur, noi…