Anagh Malik

Neural Inverse Rendering from Propagating Light
Anagh Malik*, Benjamin Attal*, Andrew Xie, Matthew O'Toole, David B. Lindell
CVPR, 2025   (Oral Presentation, Best Student Paper Award 🏆)
project page / arXiv / code

Time-resolved relighting and geometry estimation through radiance caching.

Opportunistic Single‑Photon Time of Flight
Sotiris Nousias*, Mian Wei*, Howard Xiao, Maxx Wu, Shahmeer Athar, Kevin J. Wang, Anagh Malik, David A. Barmherzig, David B. Lindell, Kiriakos N. Kutulakos
CVPR, 2025   (Oral Presentation)
project page

We propose a passive single‑photon method that opportunistically recovers time‑of‑flight from ambient pulsed light sources.

Flying with Photons: Rendering Novel Views of Propagating Light
Anagh Malik, Noah Juravsky, Ryan Po, Gordon Wetzstein, Kiriakos N. Kutulakos, David B. Lindell
ECCV, 2024   (Oral Presentation)
project page / video / arXiv / code

Novel view synthesis of arbitrary light propagation videos - including effects such as scattering or interreflections.

Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction
Anagh Malik, Parsa Mirdehghan, Sotiris Nousias, Kiriakos N. Kutulakos, David B. Lindell
NeurIPS, 2023   (Spotlight)
project page / video / arXiv / code

We introduce a method to do novel view lidar synthesis, allowing sparse view scene reconstruction.

clean-usnob Exploring Neural Representations for Self-Supervised Segmentation
Anagh Malik
Master's Thesis, 2022

We develop a method for self-supervised segmentation through agreement and self-distillation.

clean-usnob SegDIP: The Unreasonable Effectiveness of Randomly-Initialized CNNs for Interactive Segmentation
Anagh Malik, Shuaifeng Zhi, Marwan Taher, Ronald Clark, Andrew Davison
Technical Report 2021

We train an encoder-decoder network to map from xy-coordinates to RGB values and semantic classes, allowing real-time segmentation of an image.