activity
20212026
most citedEDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding

68 citations · 82 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

DualDiff3D: Dual Structure-Appearance Diffusion Priors for Reliability-Enhanced 3D Gaussian Splatting

Qian Wang, Yu Wang, Weiqi Li +4

While 3D Gaussian Splatting (3DGS) has revolutionized 3D reconstruction and novel-view synthesis, scenarios with limited input views often lead to poor reconstruction quality and a…

cs.CV2024★ 2 cited

OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding

Yanmin Wu, Jiarui Meng, Haijie Li +8

This paper introduces OpenGaussian, a method based on 3D Gaussian Splatting (3DGS) capable of 3D point-level open vocabulary understanding. Our primary motivation stems from observ…

cs.CV2024

ResVR: Joint Rescaling and Viewport Rendering of Omnidirectional Images

Weiqi Li, Shijie Zhao, Bin Chen +4

With the advent of virtual reality technology, omnidirectional image (ODI) rescaling techniques are increasingly embraced for reducing transmitted and stored file sizes while prese…

cs.CV2024

360DVD: Controllable Panorama Video Generation with 360-Degree Video Diffusion Model

Qian Wang, Weiqi Li, Chong Mou +2

Panorama video recently attracts more interest in both study and application, courtesy of its immersive experience. Due to the expensive cost of capturing 360-degree panoramic vide…

cs.CV2023★ 4 cited

Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts

Xinhua Cheng, Tianyu Yang, Jianan Wang +4

Recent text-to-3D generation methods achieve impressive 3D content creation capacity thanks to the advances in image diffusion models and optimizing strategies. However, current me…

cs.CV2022★ 68 cited

EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding

Yanmin Wu, Xinhua Cheng, Renrui Zhang +2

3D visual grounding aims to find the object within point clouds mentioned by free-form natural language descriptions with rich semantic cues. However, existing methods either extra…

cs.CV2021★ 8 cited

Learning Disentangled Representation Implicitly via Transformer for Occluded Person Re-Identification

Mengxi Jia, Xinhua Cheng, Shijian Lu +1

Person re-identification (re-ID) under various occlusions has been a long-standing challenge as person images with different types of occlusions often suffer from misalignment in i…