2 citations · 3 across the 3 of their papers we have counts for
3 papers
cond-mat.dis-nn2025★ 2 cited
A self-learning magnetic Hopfield neural network with intrinsic gradient descent adaption
Chang Niu, Huanyu Zhang, Chuanlong Xu +14
Physical neural networks using physical materials and devices to mimic synapses and neurons offer an energy-efficient way to implement artificial neural networks. Yet, training phy…
cs.CV2024★ 1 cited
3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors
Fangzhou Hong, Jiaxiang Tang, Ziang Cao +8
We present a two-stage text-to-3D generation system, namely 3DTopia, which generates high-quality general 3D assets within 5 minutes using hybrid diffusion priors. The first stage…
cs.CV2023
1st Place Solution of Egocentric 3D Hand Pose Estimation Challenge 2023 Technical Report:A Concise Pipeline for Egocentric Hand Pose Reconstruction
Zhishan Zhou, Zhi Lv, Shihao Zhou +5
This report introduce our work on Egocentric 3D Hand Pose Estimation workshop. Using AssemblyHands, this challenge focuses on egocentric 3D hand pose estimation from a single-view…