activity
20222025
most citedGuided Co-Modulated GAN for 360° Field of View Extrapolation

24 citations · 33 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

SubZero: Composing Subject, Style, and Action via Zero-Shot Personalization

Shubhankar Borse, Kartikeya Bhardwaj, Mohammad Reza Karimi Dastjerdi +8

Diffusion models are increasingly popular for generative tasks, including personalized composition of subjects and styles. While diffusion models can generate user-specified subjec…

cs.CV2024

PanDORA: Casual HDR Radiance Acquisition of Indoor Scenes for Image-based Lighting

Mohammad Reza Karimi Dastjerdi, Dominique Tanguay-Gaudreau, Frédéric Fortier-Chouinard +3

Most novel view synthesis methods -- including Neural Radiance Fields (NeRF) -- struggle to capture the high dynamic range (HDR) radiance required for realistic image-based lightin…

cs.CV2023

Towards a Perceptual Evaluation Framework for Lighting Estimation

Justine Giroux, Mohammad Reza Karimi Dastjerdi, Yannick Hold-Geoffroy +2

Progress in lighting estimation is tracked by computing existing image quality assessment (IQA) metrics on images from standard datasets. While this may appear to be a reasonable a…

cs.CV2023★ 4 cited

EverLight: Indoor-Outdoor Editable HDR Lighting Estimation

Mohammad Reza Karimi Dastjerdi, Jonathan Eisenmann, Yannick Hold-Geoffroy +1

Because of the diversity in lighting environments, existing illumination estimation techniques have been designed explicitly on indoor or outdoor environments. Methods have focused…

cs.CV2022★ 5 cited

Casual Indoor HDR Radiance Capture from Omnidirectional Images

Pulkit Gera, Mohammad Reza Karimi Dastjerdi, Charles Renaud +2

We present PanoHDR-NeRF, a neural representation of the full HDR radiance field of an indoor scene, and a pipeline to capture it casually, without elaborate setups or complex captu…

cs.CV2022★ 24 cited

Guided Co-Modulated GAN for 360° Field of View Extrapolation

Mohammad Reza Karimi Dastjerdi, Yannick Hold-Geoffroy, Jonathan Eisenmann +2

We propose a method to extrapolate a 360° field of view from a single image that allows for user-controlled synthesis of the out-painted content. To do so, we propose improvements…