activity
20222026
most citedSegment Anything in 3D with Radiance Fields

45 citations · 75 across the 14 of their papers we have counts for

collaborators

14 papers

cs.CV2026

WorldAct: Activating Monolithic 3D Worlds into Interactive-Ready Object-Centric Scenes

Jichen Hu, Jiawei Guo, Jiazhong Cen +3

Recent 3D world modeling systems based on generative scene synthesis, such as Marble, can create coherent and explorable 3D environments, yet their outputs are typically static mon…

cs.GR2026

UMo: Unified Sparse Motion Modeling for Real-Time Co-Speech Avatars

Xiaoyu Zhan, Xinyu Fu, Chenghao Yang +9

Speech-driven gestures and facial animations are fundamental to expressive digital avatars in games, virtual production, and interactive media. However, existing methods are either…

cs.CV2025

Dereflection Any Image with Diffusion Priors and Diversified Data

Jichen Hu, Chen Yang, Zanwei Zhou +4

Reflection removal of a single image remains a highly challenging task due to the complex entanglement between target scenes and unwanted reflections. Despite significant progress,…

cs.CV2024

Realistic Surgical Simulation from Monocular Videos

Kailing Wang, Chen Yang, Keyang Zhao +2

This paper tackles the challenge of automatically performing realistic surgical simulations from readily available surgical videos. Recent efforts have successfully integrated phys…

cs.CV2024

EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting

Kailing Wang, Chen Yang, Yuehao Wang +5

Precise camera tracking, high-fidelity 3D tissue reconstruction, and real-time online visualization are critical for intrabody medical imaging devices such as endoscopes and capsul…

cs.CV2024★ 3 cited

GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting

Chen Yang, Sikuang Li, Jiemin Fang +5

Reconstructing and rendering 3D objects from highly sparse views is of critical importance for promoting applications of 3D vision techniques and improving user experience. However…

cs.CV2023★ 1 cited

Efficient Deformable Tissue Reconstruction via Orthogonal Neural Plane

Chen Yang, Kailing Wang, Yuehao Wang +3

Intraoperative imaging techniques for reconstructing deformable tissues in vivo are pivotal for advanced surgical systems. Existing methods either compromise on rendering quality o…

cs.CV2023★ 3 cited

Segment Any 3D Gaussians

Jiazhong Cen, Jiemin Fang, Chen Yang +4

This paper presents SAGA (Segment Any 3D GAussians), a highly efficient 3D promptable segmentation method based on 3D Gaussian Splatting (3D-GS). Given 2D visual prompts as input,…

cs.CV2023★ 1 cited

Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues

Chen Yang, Kailing Wang, Yuehao Wang +2

Reconstructing deformable tissues from endoscopic stereo videos in robotic surgery is crucial for various clinical applications. However, existing methods relying only on implicit…

cs.CV2023

NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry Scaffolds

Chen Yang, Peihao Li, Zanwei Zhou +5

We present NeRFVS, a novel neural radiance fields (NeRF) based method to enable free navigation in a room. NeRF achieves impressive performance in rendering images for novel views…

cs.CV2023★ 45 cited

Segment Anything in 3D with Radiance Fields

Jiazhong Cen, Jiemin Fang, Zanwei Zhou +5

The Segment Anything Model (SAM) emerges as a powerful vision foundation model to generate high-quality 2D segmentation results. This paper aims to generalize SAM to segment 3D obj…

cs.LG2022★ 8 cited

A K-variate Time Series Is Worth K Words: Evolution of the Vanilla Transformer Architecture for Long-term Multivariate Time Series Forecasting

Zanwei Zhou, Ruizhe Zhong, Chen Yang +3

Multivariate time series forecasting (MTSF) is a fundamental problem in numerous real-world applications. Recently, Transformer has become the de facto solution for MTSF, especiall…

cs.CV2022★ 12 cited

SPIDR: SDF-based Neural Point Fields for Illumination and Deformation

Ruofan Liang, Jiahao Zhang, Haoda Li +3

Neural radiance fields (NeRFs) have recently emerged as a promising approach for 3D reconstruction and novel view synthesis. However, NeRF-based methods encode shape, reflectance,…

cs.CV2022★ 2 cited

DialogueNeRF: Towards Realistic Avatar Face-to-Face Conversation Video Generation

Yichao Yan, Zanwei Zhou, Zi Wang +2

Conversation is an essential component of virtual avatar activities in the metaverse. With the development of natural language processing, textual and vocal conversation generation…