activity
20232026
most citedLearning Lens Blur Fields

4 citations · 6 across the 14 of their papers we have counts for

collaborators

14 papers

cs.CV2026

Generating HDR Video from SDR Video

SaiKiran Tedla, Francesco Banterle, Trevor Canham +6

The high dynamic range (HDR) video ecosystem is approaching maturity, but the problem of upconverting legacy standard dynamic range (SDR) videos persists without a convincing solut…

eess.IV2026

Lumosaic: Hyperspectral Video via Active Illumination and Coded-Exposure Pixels

Dhruv Verma, Andrew Qiu, Roberto Rangel +8

We present Lumosaic, a compact active hyperspectral video system designed for real-time capture of dynamic scenes. Our approach combines a narrowband LED array with a coded-exposur…

cs.CV2025★ 1 cited

Generating the Past, Present and Future from a Motion-Blurred Image

SaiKiran Tedla, Kelly Zhu, Trevor Canham +4

We seek to answer the question: what can a motion-blurred image reveal about a scene's past, present, and future? Although motion blur obscures image details and degrades visual qu…

cs.CV2025

Nexels: Neurally-Textured Surfels for Real-Time Novel View Synthesis with Sparse Geometries

Victor Rong, Jan Held, Victor Chu +5

Though Gaussian splatting has achieved impressive results in novel view synthesis, it requires millions of primitives to model highly textured scenes, even when the geometry of the…

cs.CV2025

Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation

Sherwin Bahmani, Tianchang Shen, Jiawei Ren +10

The ability to generate virtual environments is crucial for applications ranging from gaming to physical AI domains such as robotics, autonomous driving, and industrial AI. Current…

cs.CV2025★ 1 cited

Neural Inverse Rendering from Propagating Light

Anagh Malik, Benjamin Attal, Andrew Xie +2

We present the first system for physically based, neural inverse rendering from multi-viewpoint videos of propagating light. Our approach relies on a time-resolved extension of neu…

cs.CV2024

AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers

Sherwin Bahmani, Ivan Skorokhodov, Guocheng Qian +5

Numerous works have recently integrated 3D camera control into foundational text-to-video models, but the resulting camera control is often imprecise, and video generation quality…

cs.CV2024

SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation

Koichi Namekata, Sherwin Bahmani, Ziyi Wu +3

Methods for image-to-video generation have achieved impressive, photo-realistic quality. However, adjusting specific elements in generated videos, such as object motion or camera m…

cs.CV2024

GStex: Per-Primitive Texturing of 2D Gaussian Splatting for Decoupled Appearance and Geometry Modeling

Victor Rong, Jingxiang Chen, Sherwin Bahmani +2

Gaussian splatting has demonstrated excellent performance for view synthesis and scene reconstruction. The representation achieves photorealistic quality by optimizing the position…

cs.CV2024

Transientangelo: Few-Viewpoint Surface Reconstruction Using Single-Photon Lidar

Weihan Luo, Anagh Malik, David B. Lindell

We consider the problem of few-viewpoint 3D surface reconstruction using raw measurements from a lidar system. Lidar captures 3D scene geometry by emitting pulses of light to a tar…

cs.CV2024

VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control

Sherwin Bahmani, Ivan Skorokhodov, Aliaksandr Siarohin +9

Modern text-to-video synthesis models demonstrate coherent, photorealistic generation of complex videos from a text description. However, most existing models lack fine-grained con…

cs.CV2024

Coherent Optical Modems for Full-Wavefield Lidar

Parsa Mirdehghan, Brandon Buscaino, Maxx Wu +4

The advent of the digital age has driven the development of coherent optical modems--devices that modulate the amplitude and phase of light in multiple polarization states. These m…

cs.CV2024

Flying with Photons: Rendering Novel Views of Propagating Light

Anagh Malik, Noah Juravsky, Ryan Po +3

We present an imaging and neural rendering technique that seeks to synthesize videos of light propagating through a scene from novel, moving camera viewpoints. Our approach relies…

eess.IV2023★ 4 cited

Learning Lens Blur Fields

Esther Y. H. Lin, Zhecheng Wang, Rebecca Lin +6

Optical blur is an inherent property of any lens system and is challenging to model in modern cameras because of their complex optical elements. To tackle this challenge, we introd…