2023.03.31 ArXiv精选
关注领域：
AIGC
3D computer vision learning
Fine-grained learning
GNN
其他
声明
论文较多，时间有限，本专栏无法做文章的讲解，只挑选出符合PaperABC研究兴趣和当前热点问题相关的论文，如果你的research topic和上述内容有关，那本专栏可作为你的论文更新源或Paper reading list．
Paper list:
今日ArXiv共更新136篇
NeRF
NeRF-Supervised Deep Stereo
https://arxiv.org/pdf/2303.17603.pdf
AIGC
AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control
https://arxiv.org/pdf/2303.17606.pdf
基于文本的human avatar生成，引入了扩散模型．
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models
https://arxiv.org/pdf/2303.17591.pdf
LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation
https://arxiv.org/pdf/2303.17189.pdf
基于layut的图像生成．
VLP
Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks
https://arxiv.org/pdf/2303.17602.pdf
阿里巴巴的工作，CVPR2023已接收．利用无标注的human image数据，进行自监督预训练．
Going Beyond Nouns With Vision & Language Models Using Synthetic Data
https://arxiv.org/pdf/2303.17590.pdf
使用合成数据来训练视觉语言模型，使得其具有更加open的能力．
SoftCLIP: Softer Cross-modal Alignment Makes CLIP Stronger
https://arxiv.org/pdf/2303.17561.pdf
引入软对比学习至CLIP.
MAE
Masked Autoencoders as Image Processors
https://arxiv.org/pdf/2303.17316.pdf
