9 citations · 23 across the 14 of their papers we have counts for
7 papers · 1 filter
Denoise to Track: Harnessing Video Diffusion Priors for Robust Correspondence
Tianyu Yuan, Yuanbo Yang, Lin-Zhuo Chen +2
In this work, we introduce HeFT (Head-Frequency Tracker), a zero-shot point tracking framework that leverages the visual priors of pretrained video diffusion models. To better unde…
UniArt: Unified 3D Representation for Generating 3D Articulated Objects with Open-Set Articulation
Bu Jin, Weize Li, Songen Gu +4
Articulated 3D objects play a vital role in realistic simulation and embodied robotics, yet manually constructing such assets remains costly and difficult to scale. In this paper,…
From Drone Imagery to Livability Mapping: AI-powered Environment Perception in Rural China
Weihuan Deng, Yaofu Huang, Luan Chen +3
The high cost of acquiring rural street view images has constrained comprehensive environmental perception in rural areas. Drone photographs, with their advantages of easy acquisit…
Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention
Shuang Wu, Youtian Lin, Feihu Zhang +8
Generating high-resolution 3D shapes using volumetric representations such as Signed Distance Functions (SDFs) presents substantial computational and memory challenges. We introduc…
Hallo4: High-Fidelity Dynamic Portrait Animation via Direct Preference Optimization
Jiahao Cui, Yan Chen, Mingwang Xu +7
Generating highly dynamic and photorealistic portrait animations driven by audio and skeletal motion remains challenging due to the need for precise lip synchronization, natural fa…
FB-4D: Spatial-Temporal Coherent Dynamic 3D Content Generation with Feature Banks
Jinwei Li, Huan-ang Gao, Wenyi Li +13
With the rapid advancements in diffusion models and 3D generation techniques, dynamic 3D content generation has become a crucial research area. However, achieving high-fidelity 4D…
Flow Distillation Sampling: Regularizing 3D Gaussians with Pre-trained Matching Priors
Lin-Zhuo Chen, Kangjie Liu, Youtian Lin +4
3D Gaussian Splatting (3DGS) has achieved excellent rendering quality with fast training and rendering speed. However, its optimization process lacks explicit geometric constraints…