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cs.CV2026

Adaptive Volumetric Mechanical Property Fields Invariant to Resolution

Rishit Dagli, Donglai Xiang, Vismay Modi +4

Accurate mechanical properties (or materials) Young's modulus (), Poisson's ratio () and density () are essential for reliable physics simulation of digital worlds, but…

cs.CV2026

VoMP: Predicting Volumetric Mechanical Property Fields

Rishit Dagli, Donglai Xiang, Vismay Modi +7

Physical simulation relies on spatially-varying mechanical properties, often laboriously hand-crafted. VoMP is a feed-forward method trained to predict Young's modulus (), Poiss…

cs.CV2026

Can Vision-Language Models Answer Face to Face Questions in the Real-World?

Reza Pourreza, Rishit Dagli, Apratim Bhattacharyya +3

AI models have made significant strides in recent years in their ability to describe and answer questions about real-world images. They have also made progress in the ability to co…

cs.CV2025

SEE-2-SOUND: Zero-Shot Spatial Environment-to-Spatial Sound

Rishit Dagli, Shivesh Prakash, Robert Wu +1

Generating combined visual and auditory sensory experiences is critical for the consumption of immersive content. Recent advances in neural generative models have enabled the creat…

cs.CV2024

AirLetters: An Open Video Dataset of Characters Drawn in the Air

Rishit Dagli, Guillaume Berger, Joanna Materzynska +2

We introduce AirLetters, a new video dataset consisting of real-world videos of human-generated, articulated motions. Specifically, our dataset requires a vision model to predict l…

cs.CV2024

NeRF-US: Removing Ultrasound Imaging Artifacts from Neural Radiance Fields in the Wild

Rishit Dagli, Atsuhiro Hibi, Rahul G. Krishnan +1

Current methods for performing 3D reconstruction and novel view synthesis (NVS) in ultrasound imaging data often face severe artifacts when training NeRF-based approaches. The arti…