Mind Artist: Creating Artistic Snapshots with Human Thought
Jiaxuan Chen, Yu Qi, Yueming Wang, Gang Pan
2024Year
9Top-tier citations
Abstract
Figure 1. Appreciating snapshot views of our mind in the style of your liking. Left: The proposed neural decoder Mind Artist supports not only the reconstruction of visual stimuli from fMRI signals but also acts as an "artistic mind camera" without extra optimizations and image-to-image translation operations. Right: We show the decoding results of our MindArt in oil, cartoon, Picasso and ink wash styles.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 09c3df4a-3c7c-4a52-b9df-e20a6ae49de0Cited by top-tier papers9
- NeuroBridge: Bio-Inspired Self-Supervised EEG-to-Image Decoding via Cognitive Priors and Bidirectional Semantic AlignmentWenjiang Zhang, Sifeng Wang, Yuwei Su, Xinyu Li et al.AAAI 2026 · 7 citations
- Beyond Brain Decoding: Visual-Semantic Reconstructions to Mental Creation Extension Based on fMRIHaodong Jing, Dongyao Jiang, Yongqiang Ma, Haibo Hua et al.ICCV 2025 · 6 citations
- Neural-Driven Image EditingPengfei Zhou, Jie Xia, Xiaopeng Peng, Wangbo Zhao et al.NeurIPS 2025 · 5 citations
- MindCross: Fast New Subject Adaptation with Limited Data for Cross-subject Video Reconstruction from Brain SignalsXuan-Hao Liu, Yan-Kai Liu, Tianyi Zhou, Bao-Liang Lu et al.AAAI 2026 · 1 citation
- Bridging the Gap Between Brain and Machine in Interpreting Visual Semantics: Towards Self-Adaptive Brain-to-Text DecodingJiaxuan Chen, Yu Qi, Yueming Wang, Gang PanICCV 2025 · 1 citation
Builds on21
- Language Models are Few-Shot LearnersTom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah et al.NeurIPS 2020 · 64,255 citations
- Learning Transferable Visual Models From Natural Language SupervisionAlec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh et al.ICML 2021 · 47,906 citations
- Denoising Diffusion Probabilistic ModelsJonathan Ho, Ajay Jain, Pieter AbbeelNeurIPS 2020 · 35,902 citations
- A Simple Framework for Contrastive Learning of Visual RepresentationsTing Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey E. HintonICML 2020 · 24,064 citations
- An Image is Worth 16x16 Words: Transformers for Image Recognition at ScaleAlexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn et al.ICLR 2021 · 21,477 citations
Related papers
- MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural DiffusionYizhuo Lu, Changde Du, Qiongyi Zhou, Dianpeng Wang et al.ACM MM 2023 · 48 citations
- Towards Interpretable Visual Decoding with Attention to Brain RepresentationsPinyuan Feng, Hossein Adeli, Wenxuan Guo, Fan Cheng et al.ICLR 2026 · 1 citation
- Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain ActivitiesJingyuan Sun, Mingxiao Li, Zijiao Chen, Yunhao Zhang et al.NeurIPS 2023 · 57 citations
- Animate Your Thoughts: Reconstruction of Dynamic Natural Vision from Human Brain ActivityYizhuo Lu, Changde Du, Chong Wang, Xuanliu Zhu et al.ICLR 2025
- iMIND: Insightful Multi-subject Invariant Neural DecodingZixiang Yin, Jiarui Li, Zhengming DingNeurIPS 2025 · 3 citations
