3 papers
cs.DC2026
ByteSplat: Efficient Distributed 3D Gaussian Splatting Training via Intra- and Inter-GPU communication reduction
Shuo Wu, He Zhu, Han Zhao +9
3D Gaussian Splatting (3DGS) enables photorealistic scene reconstruction, but training large-scale scenes requires substantial memory and computation. Distributing training across…
cs.CV2025
Droplet3D: Commonsense Priors from Videos Facilitate 3D Generation
Xiaochuan Li, Guoguang Du, Runze Zhang +11
Scaling laws have validated the success and promise of large-data-trained models in creative generation across text, image, and video domains. However, this paradigm faces data sca…
cs.CV2023
SGED: A Benchmark dataset for Performance Evaluation of Spiking Gesture Emotion Recognition
Binqiang Wang, Gang Dong, Yaqian Zhao +3
In the field of affective computing, researchers in the community have promoted the performance of models and algorithms by using the complementarity of multimodal information. How…