Paper
Robótica & RL
Image2Sim: Scaling Embodied Navigation via Generative Neural Simulator
Image2Sim enables scalable embodied navigation training by creating high-fidelity interactive environments from RGB-D images through decoupled 3D spatial anchoring and photorealist…
Hugging Face · Daily Papers
·Zihan Wang, Seungjun Lee
·
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Zihan Wang, Seungjun Lee, Yinghao Xu, Gim Hee Lee
- 0 upvotes da comunidade
- Temas: neural simulation framework, 3D feature-Gaussian representation, Geometry-Aware One-Step Pixel Flow model, RGB-D image sequences, embodied navigation, sim-to-real gap
Resumo
Resumo original (em inglês), extraído do paper:
Image2Sim enables scalable embodied navigation training by creating high-fidelity interactive environments from RGB-D images through decoupled 3D spatial anchoring and photorealistic rendering techniques.Onde ler
// relacionados
Leia também
Blog
Flight attendants freaked out that Google is buying tons of Spirit employee data
Blog
Attackers are using AI to build exploits for industrial control systems, U.S. agencies warn
Blog
AI labs are failing to keep their own systems in check
Editorial