awesome-visual-tokenizers
github.com/lavinal712/awesome-visual-tokenizers ↗📖 This is a repository for organizing papers, codes and other resources related to visual tokenizers.
22
GitHub Stars
290
Curated Resources
1
Categories
10 hours ago
Last Refreshed
Visual Tokenizers
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me discrete resources from awesome-visual-tokenizers"
Installation instructions →What's inside
Visual Tokenizers
- 2D Gaussians Meet Visual TokenizerDiscrete
- Adapting Self-Supervised Representations as a Latent Space for Efficient GenerationContinuous
- Adaptive 1D Video Diffusion AutoencoderContinuous
- Adaptive Length Image Tokenization via Recurrent AllocationDiscrete
- Adaptive Tokenisation Via Temporal Redundancy Masking And Latent InpaintingContinuous
- AdaTok: Self-Budgeting Image Tokenization with Quality-Preserving Dynamic TokensDiscrete
Showing a sample of 290 resources. View the full list on GitHub →