Chinmay Talegaonkar

I am a 5^th year Ph.D. student at UCSD. I am advised by Prof. Nicholas Antipa, and also collaborate with Yash Belhe and Prof. Ravi Ramamoorthi. I completed my M.S. in ECE from UCLA, advised by Prof. Achuta Kadambi and B.Tech in EE with a minor in CS from IIT Bombay.

Prior to joining UCSD, I was senior deep learning engineer at Akasha Imaging (acquired by Intrinsic.ai, an Alphabet company). At Akasha, I worked on developing a Multiview 6DOF Pose estimation system for industrial automation. I also played a lot of Ping Pong with Agastya Kalra.

Internships: I will be at Meta Reality Labs as a research intern for Summer 2026. I spent the summer of 2025 at Amazon Lab126, training multi-modal LLMs for home layout estimation from 3D point clouds as inputs. I was at Qualcomm AI in 2023, working on memory efficient dynamic human reconstruction that resulted in a US Patent. Earlier, I spent two summers, in 2018 and 2020, at NVIDIA, developing and optimizing CUDA kernels. Some of this work is now a part of CUTLASS and NVIDIA RAPIDS.

Email / CV / Short CV / Scholar / Twitter / LinkedIn / Github

Research

My research focuses on coupling physics-based image formation models with image / video diffusion priors and 3D scene representations (NeRFs, Gaussian Splatting) to solve inverse problems in computational imaging. More broadly, I am drawn to problems at the intersection of 3D perception, reconstruction, and generative modeling of the visual world.

	Single-Shot HDR Recovery via a Video Diffusion Prior Chinmay Talegaonkar, Jinshi He, Christopher McKenna, Nicholas Antipa arXiv, 2026 arXiv
	Repurposing Marigold for Zero-Shot Metric Depth Estimation via Defocus Blur Cues Chinmay Talegaonkar, Nikhil Gandudi Suresh, Zachary Novack, Yash Belhe, Priyanka Nagasamudra, Nicholas Antipa NeurIPS 2025 (Spotlight) Project Page / Code Release /
	Volumetrically Consistent 3D Gaussian Rasterization Chinmay Talegaonkar, Yash Belhe, Ravi Ramamoorthi, Nicholas Antipa CVPR 2025 (Highlight) Project Page / Code Release /
	RnGCam: High-speed video from rolling & global shutter measurements Kevin Tandi, Xiang Dai, Chinmay Talegaonkar, Gal Mishne, Nicholas Antipa ICCV, 2025
	Pose Estimation of Buried Deep-Sea Objects with 3D Vision Deep Learning Models Jerry Yan, Chinmay Talegaonkar, Nicholas Antipa, Eric Terrill, Sophia Merrifield OCEANS, 2024
	Visual Physics: Discovering Physical Laws from Videos Pradyumna Chari, Chinmay Talegaonkar, Yunhao Ba, Achuta Kadambi arXiv Preprint, ICCP 2020 Poster* ICCP Poster Video A revised version of this paper was published in IEEE Access .
	Compressive Phase Retrieval under Poisson Noise Chinmay Talegaonkar, Parthasarathi Khirwadkar, Ajit Rajwade ICIP, 2019
	Performance Bounds for Tractable Poisson Denoisers with Principled Parameter Tuning Chinmay Talegaonkar, Ajit Rajwade GlobalSIP, 2018

Miscellanea

Awards & Fellowships

GuruKrupa Fellowship at UCLA
South East Asia ML Summer School (SEAMLS) -- top 100 out of 1100 applicants.
Silver medalist at IJSO 2013, representing the Indian team.

Thanks Jon Barron for the website source code.