53 citations · 193 across the 22 of their papers we have counts for
13 papers · 1 filter
GroundShot: Visually Consistent Multi-Shot Long Video Generation via Entity-Grounded Shot Scheduling
Yixuan Lai, Tianjia Shao, Weijia Dou +2
Generating visually consistent multi-shot videos remains an open challenge. As videos span more shots, inconsistencies can accumulate across shots, causing entities that reappear a…
High-Fidelity Mobile Avatars with Pruned Local Blendshapes
Youyi Zhan, He Wang, Tianjia Shao +1
We propose a method to reconstruct high-fidelity human avatars from multi-view video that can run on mobile devices. Many works can model high-quality Gaussian-based full-body avat…
Slot-ID: Identity-Preserving Video Generation from Reference Videos via Slot-Based Temporal Identity Encoding
Yixuan Lai, He Wang, Kun Zhou +1
Human identity-preserving text-to-video generation remains challenging under large changes in viewpoint, facial expression, illumination, and motion. Existing methods condition the…
Gaussian-Plus-SDF SLAM: High-fidelity 3D Reconstruction at 150+ fps
Zhexi Peng, Kun Zhou, Tianjia Shao
While recent Gaussian-based SLAM methods achieve photorealistic reconstruction from RGB-D data, their computational performance remains a critical bottleneck. State-of-the-art tech…
High-fidelity 3D Object Generation from Single Image with RGBN-Volume Gaussian Reconstruction Model
Yiyang Shen, Kun Zhou, He Wang +2
Recently single-view 3D generation via Gaussian splatting has emerged and developed quickly. They learn 3D Gaussians from 2D RGB images generated from pre-trained multi-view diffus…
Pattern Guided UV Recovery for Realistic Video Garment Texturing
Youyi Zhan, Tuanfeng Y. Wang, Tianjia Shao +1
The fast growth of E-Commerce creates a global market worth USD 821 billion for online fashion shopping. What unique about fashion presentation is that, the same design can usually…
Interactive Rendering of Relightable and Animatable Gaussian Avatars
Youyi Zhan, Tianjia Shao, He Wang +2
Creating relightable and animatable avatars from multi-view or monocular videos is a challenging task for digital human creation and virtual reality applications. Previous methods…
RTG-SLAM: Real-time 3D Reconstruction at Scale using Gaussian Splatting
Zhexi Peng, Tianjia Shao, Yong Liu +4
We present Real-time Gaussian SLAM (RTG-SLAM), a real-time 3D reconstruction system with an RGBD camera for large-scale environments using Gaussian splatting. The system features a…
Adaptive Local Basis Functions for Shape Completion
Hui Ying, Tianjia Shao, He Wang +2
In this paper, we focus on the task of 3D shape completion from partial point clouds using deep implicit functions. Existing methods seek to use voxelized basis functions or the on…
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack
Yunfeng Diao, He Wang, Tianjia Shao +4
Human Activity Recognition (HAR) has been employed in a wide range of applications, e.g. self-driving cars, where safety and lives are at stake. Recently, the robustness of skeleto…
Pose Guided Image Generation from Misaligned Sources via Residual Flow Based Correction
Jiawei Lu, He Wang, Tianjia Shao +2
Generating new images with desired properties (e.g. new view/poses) from source images has been enthusiastically pursued recently, due to its wide range of potential applications.…
Unsupervised Image Generation with Infinite Generative Adversarial Networks
Hui Ying, He Wang, Tianjia Shao +2
Image generation has been heavily investigated in computer vision, where one core research challenge is to generate images from arbitrarily complex distributions with little superv…
SMART: Skeletal Motion Action Recognition aTtack
He Wang, Feixiang He, Zhexi Peng +4
Adversarial attack has inspired great interest in computer vision, by showing that classification-based solutions are prone to imperceptible attack in many tasks. In this paper, we…