4 papers · 1 filter
ReCal3R: Reliability-Calibrated Learning Rates for Streaming 3D Reconstruction
Xinze Li, Yiyuan Wang, Pengxu Chen +4
Streaming 3D reconstruction relies on a compact recurrent scene state to process long image streams in linear time and bounded memory. However, repeated updates can gradually corru…
DiffPCN: Latent Diffusion Model Based on Multi-view Depth Images for Point Cloud Completion
Zijun Li, Hongyu Yan, Shijie Li +4
Latent diffusion models (LDMs) have demonstrated remarkable generative capabilities across various low-level vision tasks. However, their potential for point cloud completion remai…
LPViT: Low-Power Semi-structured Pruning for Vision Transformers
Kaixin Xu, Zhe Wang, Chunyun Chen +7
Vision transformers have emerged as a promising alternative to convolutional neural networks for various image analysis tasks, offering comparable or superior performance. However,…
DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object Detection
Kaixin Xu, Qingtian Feng, Hao Chen +6
Applying deep neural networks to 3D point cloud processing has attracted increasing attention due to its advanced performance in many areas, such as AR/VR, autonomous driving, and…