- ๐ Hi, Iโm Mengping Yang (Just call me Mengping), and recently finished my Ph.D from East China University of Science and Technology with dozens of honors.
- ๐ Iโm very interested in Multi-modal learning and Generative models on various modalities, e.g., visual-language modeling, text-to-image/video/3D/4D synthesis.
- ๐ฑ I'm always opening for collabration and disscussion for any academic/enginnering issues of advanced tech, fell free to reach me at kobeshegu@gmail.com.
๐
Focusing
Ph.D of Computer Science and Technology, focus on multi-modal learning and generative models.
- Shanghai
-
19:16
(UTC +08:00) - kobeshegu.github.io
- @kobeshegu
- https://www.zhihu.com/people/ke-ke-ke-ke-ke-da-xia
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awesome-few-shot-generation
awesome-few-shot-generation PublicA curated list of awesome few-shot image generation papers
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ECCV2022_WaveGAN
ECCV2022_WaveGAN PublicThe official code of WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image Generation (ECCV2022)
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FreGAN_NeurIPS2022
FreGAN_NeurIPS2022 Public[NeurIPS2022] FreGAN: Exploiting Frequency Components for Training GANs under Limited Data
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CKA-Evaluation
CKA-Evaluation PublicCode for our metric paper: Revisiting the Evaluation of Image Synthesis with GANs
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Monalissaa/DisenDiff
Monalissaa/DisenDiff Public[CVPR`2024, Oral] Attention Calibration for Disentangled Text-to-Image Personalization
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llm-conditioned-diffusion/llm-conditioned-diffusion.github.io
llm-conditioned-diffusion/llm-conditioned-diffusion.github.io Public
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