Gaussian Splatting Jobs (NOW HIRING)

Proficiency in 3D Gaussian Splatting, NeRFs, and modern SLAM algorithms. * Experience with multimodal spatial AI frameworks. * Previous work integrating computer vision outputs with ROS2 or robotic ...

Gaussian splatting, world models, and learned sensor models. We're a small team early in the build. You'll have real influence over both what we build and how we build it. Key Responsibilities

Develop software components and tools for indoor feature extraction, Gaussian Splatting, PDF floor plan extraction, indoor reality workflows, and AI-assisted validation * Prototype and integrate ...

Preferred : • Experience with Gaussian Splatting or similar real-time 3D reconstruction technologies is a strong advantage. Company : See Tomorrow, Today. We are a technology company focused on ...

Develop and apply techniques in multi-view geometry, neural rendering, NeRFs, Gaussian Splatting, implicit 3D representations, and feedforward 3D modeling. * Explore geometry-aware tokenization and ...

... Gaussian Splatting, NeRF, SLAM/SfM, spatiotemporal scene modeling and other directions, to build large-scale spatial understanding and reconstruction capabilities. • Build a synthetic data ...

Pilot enterprise-level drones (e.g., DJI Mavic 3 Enterprise, Matrice series) to capture high-resolution aerial imagery and video for photogrammetry and Gaussian Splatting workflows. * Data Processing:

Develop software components and tools for indoor feature extraction, Gaussian Splatting, PDF floor plan extraction, indoor reality workflows, and AI-assisted validation * Prototype and integrate ...

The ideal candidate has hands-on experience in the research, development, and implementation of machine learning methods (e.g., NeRF or Gaussian splatting) for generating synthetic sensor data ...

Hands-on expertise in and in-depth understanding of one or more of the following areas: multi-view depth estimation, semantic segmentation, Gaussian splatting, generative modeling, BEV-style models ...

This is roughly 70-80% of the role The remaining 20-30% involves integrating emerging techniques (Gaussian Splatting, neural reconstruction, generative 3D) into production workflows as the field ...

The ideal candidate has hands-on experience in the research, development, and implementation of machine learning methods (e.g., NeRF or Gaussian splatting) for generating synthetic sensor data ...

This is roughly 70-80% of the role The remaining 20-30% involves integrating emerging techniques (Gaussian Splatting, neural reconstruction, generative 3D) into production workflows as the field ...

Develop and apply techniques in multi-view geometry, neural rendering, NeRFs, Gaussian Splatting, implicit 3D representations, and feedforward 3D modeling. * Explore geometry-aware tokenization and ...

Responsibilities : • Implement and productionize advanced techniques from graphics and computer vision research (e.g., radiance fields, Gaussian splatting, compression, streaming) • Develop ...

Integrate reality capture hardware and software workflows (e.g., NeRF, Gaussian splatting, structured light scanning, photogrammetry reconstruction) with the simulation platform's asset ingestion ...

The ideal candidate has hands-on experience in the research, development, and implementation of machine learning methods (e.g., NeRF or Gaussian splatting) for generating synthetic sensor data ...

Design, implement, and evaluate novel algorithms for (Dynamic) Gaussian Splatting, 3D reconstruction, performance capture and relighting with a clear path from prototype to production applicability.

Leverage synthetic data generation and advanced simulation techniques (e.g., Gaussian Splatting, NeRFs, GenAI) to bridge the sim-to-real gap. * Drive Research and Innovation: Stay current with ...

This postdoc will perform research on 3D scene reconstruction, novel view synthesis and inverse rendering, building on state of the art techniques such as neural radiance fields, Gaussian splatting ...