5 papers
GHOST: Geometry-Constrained Hybrid Diffusion for Open-Vocabulary 3D Scene Graph Generation
Changqun Feng, Wangxiandi Yin, Xin Hu +4
3D scene graph generation requires understanding both object semantics and metric spatial relations. However, existing open-vocabulary methods often struggle with spatial predicate…
CoSAG: Compact Semantic Anchor Gaussians via Training-Free Rate-Distortion Coding
Yuang Jia, Jinlong Wang, Junhong Lin +2
Open-vocabulary 3D scene understanding is commonly achieved by embedding 2D vision-language features such as CLIP into a 3D Gaussian Splatting scene, turning it into a text-queryab…
Beyond Existance: Fulfill 3D Reconstructed Scenes with Pseudo Details
Yifei Gao, Jun Huang, Lei Wang +2
The emergence of 3D Gaussian Splatting (3D-GS) has significantly advanced 3D reconstruction by providing high fidelity and fast training speeds across various scenarios. While rece…
Compensate Quantization Errors: Make Weights Hierarchical to Compensate Each Other
Yifei Gao, Jie Ou, Lei Wang +4
Emergent Large Language Models (LLMs) use their extraordinary performance and powerful deduction capacity to discern from traditional language models. However, the expenses of comp…
Pay Attention to What You Need
Yifei Gao, Shaohong Chen, Lei Wang +5
Although large language models (LLMs) have achieved significant success in natural language processing, they still struggle with long-context comprehension. Traditional approaches…