liujingwen-bmil

liujingwen-bmil's Stars

• SforAiDl/CountCLIP

  Language:Jupyter Notebook19

• Litalby1/make-it-count

  Official implemention of "Make It Count: Text-to-Image Generation with an Accurate Number of Objects"

  Language:Python585

• Qrange-group/SUR-adapter

  ACM MM'23 (oral), SUR-adapter for pre-trained diffusion models can acquire the powerful semantic understanding and reasoning capabilities from large language models to build a high-quality textual semantic representation for text-to-image generation.

  Language:Python1142

• AlonzoLeeeooo/awesome-text-to-image-studies

  A collection of awesome text-to-image generation studies.

  Language:TeX37620

• yuweihao/MambaOut

  MambaOut: Do We Really Need Mamba for Vision?

  Language:Python2k34

• CompVis/attribute-control

  Fine-Grained Subject-Specific Attribute Expression Control in T2I Models

  Language:Jupyter Notebook10710

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python55k5.7k

• hpcaitech/Open-Sora

  Open-Sora: Democratizing Efficient Video Production for All

  Language:Python21.9k2.1k

• Weili-NLP/UNIMO-G

  86

• zju-bmi-lab/SpikingNeRF

  Coming soon

  Language:Python181

• SnailForce/SIM-Net

  Learning to Manipulate Artistic Images (AAAI 2024)

  Language:Python10

• cloneofsimo/lora

  Using Low-rank adaptation to quickly fine-tune diffusion models.

  Language:Jupyter Notebook7k480

• kzbkzb/Python-AI

  深度学习100例、深度学习DL、图片分类、目标识别、目标检测、自然语言处理nlp、文本分类、TensorFlow、PyTorch

  Language:Jupyter Notebook803173