MLSP-L1.2

CAD-Judge: Toward Efficient Morphological Grading and Verification for Text-to-CAD Generation

Zheyuan Zhou, Zhejiang University, China; Jiayi Han, Inspur Genersoft, Inspur Group, China; Liang Du, Tencent Inc., China; Naiyu Fang, Nanyang Technological University, Singapore; Lemiao Qiu, Shuyou Zhang, Zhejiang University, China

Session:
MLSP-L1: Deep Generative Models for Structured Data Oral

Track:
Machine Learning for Signal Processing [ML]

Location:
Room 112

Presentation Time:
Tue, 5 May, 14:20 - 14:40

Presentation
Discussion
Resources
No resources available.
Session MLSP-L1
MLSP-L1.1: Fourier Pruning for Large Language Models Compression
Junhao Wang, Jilin University, China; Guoxi Xu, Alibaba Group, China; Huimin Tong, Hikvision Digital Technology Co., Ltd., China; Yiwei Chen, Chinese Academy of Sciences, University of Science and Technology of China, China; Gaochao Xu, Jilin University, China
MLSP-L1.2: CAD-Judge: Toward Efficient Morphological Grading and Verification for Text-to-CAD Generation
Zheyuan Zhou, Zhejiang University, China; Jiayi Han, Inspur Genersoft, Inspur Group, China; Liang Du, Tencent Inc., China; Naiyu Fang, Nanyang Technological University, Singapore; Lemiao Qiu, Shuyou Zhang, Zhejiang University, China
MLSP-L1.3: MAKE A GAME: A NOVEL PARADIGM FOR INTERACTIVE GAME RENDERING
Zijie Meng, Jinming Che, Peking University, China; Bingcai Wei, Wuhan University, China; Xixin Cao, Peking University, China
MLSP-L1.4: Unconditional flow-based time series generation with equivariance-regularised latent spaces
Camilo Carvajal Reyes, Felipe Tobar, Imperial College London, United Kingdom of Great Britain and Northern Ireland
MLSP-L1.5: MOVi: Training-free Text-conditioned Multi-Object Video Generation
Aimon Rahman, Johns Hopkins University, United States of America; Jiang Liu, Ze Wang, Ximeng Sun, Jialian Wu, Xiaodong Yu, Yusheng Su, Advanced Micro Devices, United States of America; Vishal M Patel, Johns Hopkins University, United States of America; Zicheng Liu, Emad Barsoum, Advanced Micro Devices, United States of America
MLSP-L1.6: Multi-scale Generative Modeling for Fast Sampling
Xiongye Xiao, University of Tennessee, Knoxville, United States of America; Shixuan Li, University of Southern California, United States of America; Luzhe Huang, University of California, Los Angeles, United States of America; Anzhe Cheng, Wei Yang, Gengshuo Liu, Trung-Kien Nguyen, University of Southern California, United States of America; Yi Huang, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China; Paul Bogdan, University of Southern California, United States of America
Contacts