Anagh Malik
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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. |
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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. |
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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. |
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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. |
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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. |
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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. |