6 citations · 6 across the 6 of their papers we have counts for
7 papers
Free-Form Scene Editor: Enabling Multi-Round Object Manipulation like in a 3D Engine
Xincheng Shuai, Zhenyuan Qin, Henghui Ding +1
Recent advances in text-to-image (T2I) diffusion models have significantly improved semantic image editing, yet most methods fall short in performing 3D-aware object manipulation.…
DGS: Dense Depth Regularization for LiDAR-free Urban Scene Reconstruction
Kejing Xia, Jidong Jia, Ke Jin +4
Recently, Gaussian Splatting (GS) has shown great potential for urban scene reconstruction in the field of autonomous driving. However, current urban scene reconstruction methods o…
Natural Reflection Backdoor Attack on Vision Language Model for Autonomous Driving
Ming Liu, Siyuan Liang, Koushik Howlader +3
Vision-Language Models (VLMs) have been integrated into autonomous driving systems to enhance reasoning capabilities through tasks such as Visual Question Answering (VQA). However,…
On Geometry-Enhanced Parameter-Efficient Fine-Tuning for 3D Scene Segmentation
Liyao Tang, Zhe Chen, Dacheng Tao
The emergence of large-scale pre-trained point cloud models has significantly advanced 3D scene understanding, but adapting these models to specific downstream tasks typically dema…
Fast-Slow-Thinking: Complex Task Solving with Large Language Models
Yiliu Sun, Yanfang Zhang, Zicheng Zhao +3
Nowadays, Large Language Models (LLMs) have been gradually employed to solve complex tasks. To face the challenge, task decomposition has become an effective way, which proposes to…
Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning
Yanfang Zhang, Yiliu Sun, Yibing Zhan +3
Recently, increasing attention has been focused on improving the ability of Large Language Models (LLMs) to perform complex reasoning. Advanced methods, such as Chain-of-Thought (C…
Hi-Map: Hierarchical Factorized Radiance Field for High-Fidelity Monocular Dense Mapping
Tongyan Hua, Haotian Bai, Zidong Cao +3
In this paper, we introduce Hi-Map, a novel monocular dense mapping approach based on Neural Radiance Field (NeRF). Hi-Map is exceptional in its capacity to achieve efficient and h…