← Search

Sachin Shah

5 accepted papers

2025

Flash-Split: 2D Reflection Removal with Flash Cues and Latent Diffusion Separation

CVPR 2025poster

Transparent surfaces, such as glass, create complex reflections that obscure images and challenge downstream computer vision applications. We introduce Flash-Split, a robust framework for separating transmitted and reflected light using a single (potentially misaligned) pair of flash/no-flash images…

2025

Parametric Shadow Control for Portrait Generation in Text-to-Image Diffusion Models

ICCV 2025poster

Text-to-image diffusion models excel at generating diverse portraits, but lack intuitive shadow control. Existing editing approaches, as post-processing, struggle to offer effective manipulation across diverse styles. Additionally, these methods either rely on expensive real-world light-stage data c…

Cited by 0SourcePDFScholar
2024

CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras

CVPR 2024poster

Point-spread-function (PSF) engineering is a well-established computational imaging technique that uses phase masks and other optical elements to embed extra information (e.g. depth) into the images captured by conventional CMOS image sensors. To date however PSF-engineering has not been applied to…

Cited by 2SourcePDFScholar
2024

Flash-Splat: 3D Reflection Removal with Flash Cues and Gaussian Splats

ECCV 2024poster

"We introduce a simple yet effective approach for separating transmitted and reflected light. Our key insight is that the powerful novel view synthesis capabilities provided by modern inverse rendering methods (e.g., 3D Gaussian splatting) allow one to perform flash/no-flash reflection separation us…

Cited by 8SourcePDFScholar
2023

TiDy-PSFs: Computational Imaging with Time-Averaged Dynamic Point-Spread-Functions

ICCV 2023poster

Point-spread-function (PSF) engineering is a powerful computational imaging technique wherein a custom phase mask is integrated into an optical system to encode additional information into captured images. Used in combination with deep learning, such systems now offer state-of-the-art performance at…

Cited by 3PDFScholar