8 papers
Learnable SMPLify: A Neural Solution for Optimization-Free Human Pose Inverse Kinematics
Yuchen Yang, Linfeng Dong, Wei Wang +2
In 3D human pose and shape estimation, SMPLify remains a robust baseline that solves inverse kinematics (IK) through iterative optimization. However, its high computational cost li…
CityGS-X: A Scalable Architecture for Efficient and Geometrically Accurate Large-Scale Scene Reconstruction
Yuanyuan Gao, Hao Li, Jiaqi Chen +5
Despite its significant achievements in large-scale scene reconstruction, 3D Gaussian Splatting still faces substantial challenges, including slow processing, high computational co…
R3-Avatar: Record and Retrieve Temporal Codebook for Reconstructing Photorealistic Human Avatars
Yifan Zhan, Wangze Xu, Qingtian Zhu +6
We present R3-Avatar, incorporating a temporal codebook, to overcome the inability of human avatars to be both animatable and of high-fidelity rendering quality. Existing video-bas…
SGA-INTERACT: A 3D Skeleton-based Benchmark for Group Activity Understanding in Modern Basketball Tactic
Yuchen Yang, Wei Wang, Yifei Liu +5
Group Activity Understanding is predominantly studied as Group Activity Recognition (GAR) task. However, existing GAR benchmarks suffer from coarse-grained activity vocabularies an…
DIR: Retrieval-Augmented Image Captioning with Comprehensive Understanding
Hao Wu, Zhihang Zhong, Xiao Sun
Image captioning models often suffer from performance degradation when applied to novel datasets, as they are typically trained on domain-specific data. To enhance generalization i…
MaskGaussian: Adaptive 3D Gaussian Representation from Probabilistic Masks
Yifei Liu, Zhihang Zhong, Yifan Zhan +2
While 3D Gaussian Splatting (3DGS) has demonstrated remarkable performance in novel view synthesis and real-time rendering, the high memory consumption due to the use of millions o…