DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification-Reference-Cited by-同舟云学术

DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification

Published:2024-01-03 Issue: Volume: Page:
ISSN:
Container-title:2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
language:
Short-container-title:

Author:

Shen Sitian¹,Zhu Zilin¹,Fan Linqian²,Zhang Harry³,Wu Xinxiao¹

Affiliation:

1. Beijing Institute of Technology,Beijing Key Laboratory of Intelligent Information Technology, School of Computer Science and Technology,Beijing,China

2. Beijing Jiaotong University,Beijing,China

3. Massachusetts Institute of Technology,Cambridge,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10483279/10483282/10483742.pdf?arnumber=10483742

Reference43 articles.

1. Stylip: Multi-scale style-conditioned prompt learning for clip-based domain generalization;Bose,2023

2. Language models are few-shot learners;Brown;Advances in neural information processing systems,2020

3. Shapenet: An information-rich 3d model repository;Chang,2015

4. Domain-Specific Mappings for Generative Adversarial Style Transfer

5. Diffusion models beat gans on image synthesis;Dhariwal;Advances in Neural Information Processing Systems

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Discriminative feature learning based on multi-view attention network with diffusion joint loss for speech emotion recognition;Engineering Applications of Artificial Intelligence;2024-11

2. DiffDet4SAR: Diffusion-Based Aircraft Target Detection Network for SAR Images;IEEE Geoscience and Remote Sensing Letters;2024