activity
20222025
most citedDynamic Neural Textures: Generating Talking-Face Videos with Continuously Controllable Expressions

9 citations · 13 across the 16 of their papers we have counts for

collaborators

16 papers

cs.CV2025

HGS: Hybrid Gaussian Splatting with Static-Dynamic Decomposition for Compact Dynamic View Synthesis

Kaizhe Zhang, Yijie Zhou, Weizhan Zhang +5

Dynamic novel view synthesis (NVS) is essential for creating immersive experiences. Existing approaches have advanced dynamic NVS by introducing 3D Gaussian Splatting (3DGS) with i…

cs.CV2025

Unsupervised Structural Scene Decomposition via Foreground-Aware Slot Attention with Pseudo-Mask Guidance

Huankun Sheng, Ming Li, Yixiang Wei +4

Recent advances in object-centric representation learning have shown that slot attention-based methods can effectively decompose visual scenes into object slot representations with…

cs.CV2025

StereoAdapter: Adapting Stereo Depth Estimation to Underwater Scenes

Zhengri Wu, Yiran Wang, Yu Wen +3

Underwater stereo depth estimation provides accurate 3D geometry for robotics tasks such as navigation, inspection, and mapping, offering metric depth from low-cost passive cameras…

cs.CV2025

LAM: Surfel Splatting SLAM for Geometrically Accurate Tracking and Mapping

Ruoyu Fan, Yuhui Wen, Jiajia Dai +3

We propose LAM, a novel RGB-D SLAM system that leverages 2D surfel splatting to achieve highly accurate geometric representations for simultaneous tracking and mapping. Unlike…

cs.CV2025

Towards Better Robustness: Pose-Free 3D Gaussian Splatting for Arbitrarily Long Videos

Zhen-Hui Dong, Sheng Ye, Yu-Hui Wen +2

3D Gaussian Splatting (3DGS) has emerged as a powerful representation due to its efficiency and high-fidelity rendering. 3DGS training requires a known camera pose for each input v…

cs.CV2024

Weighted Poisson-disk Resampling on Large-Scale Point Clouds

Xianhe Jiao, Chenlei Lv, Junli Zhao +5

For large-scale point cloud processing, resampling takes the important role of controlling the point number and density while keeping the geometric consistency. % in related tasks.…

cs.CV2024

AlphaTablets: A Generic Plane Representation for 3D Planar Reconstruction from Monocular Videos

Yuze He, Wang Zhao, Shaohui Liu +4

We introduce AlphaTablets, a novel and generic representation of 3D planes that features continuous 3D surface and precise boundary delineation. By representing 3D planes as rectan…

cs.CV2024★ 1 cited

PVP-Recon: Progressive View Planning via Warping Consistency for Sparse-View Surface Reconstruction

Sheng Ye, Yuze He, Matthieu Lin +8

Neural implicit representations have revolutionized dense multi-view surface reconstruction, yet their performance significantly diminishes with sparse input views. A few pioneerin…

cs.CV2024

Gaussian in the Dark: Real-Time View Synthesis From Inconsistent Dark Images Using Gaussian Splatting

Sheng Ye, Zhen-Hui Dong, Yubin Hu +2

3D Gaussian Splatting has recently emerged as a powerful representation that can synthesize remarkable novel views using consistent multi-view images as input. However, we notice t…

cs.LG2024

Exploring Text-to-Motion Generation with Human Preference

Jenny Sheng, Matthieu Lin, Andrew Zhao +5

This paper presents an exploration of preference learning in text-to-motion generation. We find that current improvements in text-to-motion generation still rely on datasets requir…

cs.CV2023

Text-Image Conditioned Diffusion for Consistent Text-to-3D Generation

Yuze He, Yushi Bai, Matthieu Lin +5

By lifting the pre-trained 2D diffusion models into Neural Radiance Fields (NeRFs), text-to-3D generation methods have made great progress. Many state-of-the-art approaches usually…

cs.CV2023

Indoor Scene Reconstruction with Fine-Grained Details Using Hybrid Representation and Normal Prior Enhancement

Sheng Ye, Yubin Hu, Matthieu Lin +4

The reconstruction of indoor scenes from multi-view RGB images is challenging due to the coexistence of flat and texture-less regions alongside delicate and fine-grained regions. R…

cs.CV2023

O-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model

Yubin Hu, Sheng Ye, Wang Zhao +5

Occlusion is a common issue in 3D reconstruction from RGB-D videos, often blocking the complete reconstruction of objects and presenting an ongoing problem. In this paper, we propo…

cs.CV2022★ 3 cited

Continuously Controllable Facial Expression Editing in Talking Face Videos

Zhiyao Sun, Yu-Hui Wen, Tian Lv +4

Recently audio-driven talking face video generation has attracted considerable attention. However, very few researches address the issue of emotional editing of these talking face…

cs.CV2022★ 9 cited

Dynamic Neural Textures: Generating Talking-Face Videos with Continuously Controllable Expressions

Zipeng Ye, Zhiyao Sun, Yu-Hui Wen +4

Recently, talking-face video generation has received considerable attention. So far most methods generate results with neutral expressions or expressions that are implicitly determ…

cs.CV2022

PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows

Aihua Mao, Zihui Du, Yu-Hui Wen +2

Point cloud denoising aims to restore clean point clouds from raw observations corrupted by noise and outliers while preserving the fine-grained details. We present a novel deep le…