Rishit Dagli

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I am broadly interested in learning algorithms, computer vision, graphics, learning theory, and math. My research interests are in building models that can produce physically realistic dynamic worlds as well as understand this complex (4D) world.

I am currently working as a research intern at NVIDIA on building physically realistic dynamic worlds. I am an undergraduate student in CS and Math at UofT University of Toronto. Previously, I took a 1-year break from my undergrad to work at NVIDIA as a research intern at the intersection of AI, vision, and graphics. Before that, I was a research intern at Qualcomm AI Research in 2024 with Roland Memisevic, Guillaume Berger on video-audio-language models (VLMs). Even before that, I was a research engineering intern at CivoCivo with Josh Mesout where I focused on improving inference performance of multimodal models.

In a past life, I used to work on software engineering and building robot hardware. I used to contribute to some popular open-source software.

selected publications

  1. Adaptive Volumetric Mechanical Property Fields Invariant to Resolution
    ICML 2026
  2. RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies
    RSS 2026
  3. FreeForm: Reduced-Order Deformable Simulation from Particle-Based Skinning Eigenmodes
    CVPR 2026 (* joint first authors)
  4. VoMP: Predicting Volumetric Mechanical Property Fields
    ICLR 2026
  5. qivd.png
    Can Vision-Language Models Answer Face to Face Questions in the Real-World?
    ICLR 2026 (* joint first authors)
  6. squeeze3d.png
    Squeeze3D: Your 3D Generation Model is Secretly an Extreme Neural Compressor
    arXiv 2025
  7. SEE-2-SOUND: Zero-Shot Spatial Environment-to-Spatial Sound
    SIGGRAPH Posters 2025