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Aligning cyber space with physical world: A comprehensive survey on embodied ai
Embodied Artificial Intelligence (Embodied AI) is crucial for achieving Artificial General
Intelligence (AGI) and serves as a foundation for various applications that bridge cyberspace …
Intelligence (AGI) and serves as a foundation for various applications that bridge cyberspace …
A survey on text-guided 3D visual grounding: elements, recent advances, and future directions
Text-guided 3D visual grounding (T-3DVG), which aims to locate a specific object that
semantically corresponds to a language query from a complicated 3D scene, has drawn …
semantically corresponds to a language query from a complicated 3D scene, has drawn …
Oakink2: A dataset of bimanual hands-object manipulation in complex task completion
We present OAKINK2 a dataset of bimanual object manipulation tasks for complex daily
activities. In pursuit of constructing the complex tasks into a structured representation …
activities. In pursuit of constructing the complex tasks into a structured representation …
Meshxl: Neural coordinate field for generative 3d foundation models
The polygon mesh representation of 3D data exhibits great flexibility, fast rendering speed,
and storage efficiency, which is widely preferred in various applications. However, given its …
and storage efficiency, which is widely preferred in various applications. However, given its …
Lexicon3d: Probing visual foundation models for complex 3d scene understanding
Complex 3D scene understanding has gained increasing attention, with scene encoding
strategies built on top of visual foundation models playing a crucial role in this success …
strategies built on top of visual foundation models playing a crucial role in this success …
When llms step into the 3d world: A survey and meta-analysis of 3d tasks via multi-modal large language models
As large language models (LLMs) evolve, their integration with 3D spatial data (3D-LLMs)
has seen rapid progress, offering unprecedented capabilities for understanding and …
has seen rapid progress, offering unprecedented capabilities for understanding and …
Llara: Supercharging robot learning data for vision-language policy
LLMs with visual inputs, ie, Vision Language Models (VLMs), have the capacity to process
state information as visual-textual prompts and respond with policy decisions in text. We …
state information as visual-textual prompts and respond with policy decisions in text. We …
Pandora: Towards general world model with natural language actions and video states
World models simulate future states of the world in response to different actions. They
facilitate interactive content creation and provides a foundation for grounded, long-horizon …
facilitate interactive content creation and provides a foundation for grounded, long-horizon …
Humanvla: Towards vision-language directed object rearrangement by physical humanoid
Abstract Physical Human-Scene Interaction (HSI) plays a crucial role in numerous
applications. However, existing HSI techniques are limited to specific object dynamics and …
applications. However, existing HSI techniques are limited to specific object dynamics and …
Chatcam: Empowering camera control through conversational ai
Cinematographers adeptly capture the essence of the world, crafting compelling visual
narratives through intricate camera movements. Witnessing the strides made by large …
narratives through intricate camera movements. Witnessing the strides made by large …