AI & ML interests
None defined yet.
Recent Activity
Papers
MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities
(1D) Ordered Tokens Enable Efficient Test-Time Search
spaces 8
Running on Zero
Agents
1
A2A-Video
🎬
Generate multimodal video predictions from any input modality
Running on Zero
Agents
4
MODUS
🎨
MODUS any-to-any multimodal demo (16 aligned modalities)
Sleeping
Agents
4
Search over Tokens
🔎
Test-time search over ordered visual tokens.
Sleeping
Agents
3
VideoFlexTok
🎞
VideoFlexTok: flexible-length coarse-to-fine video tokenizer
Running on Zero
Agents
Featured
203
4M Demo
⚡
4M: Massively Multimodal Masked Modeling
Runtime error
Agents
17
FlexTok
🖼
FlexTok flexible sequence length autoencoding demo
models 54
EPFL-VILAB/A2A-Video-models
Updated • 1
EPFL-VILAB/FlexAR-3B-T2I
Text-to-Image • 3B • Updated • 11
EPFL-VILAB/GridAR-3B-T2I
Text-to-Image • 3B • Updated • 18
EPFL-VILAB/FlexAR-1B-T2I
Text-to-Image • 1B • Updated • 17
EPFL-VILAB/FlexAR-382M-T2I
Text-to-Image • 0.5B • Updated • 4
EPFL-VILAB/FlexAR-113M-T2I
Text-to-Image • 0.2B • Updated • 20 • 1
EPFL-VILAB/MODUS
Any-to-Any • 15B • Updated • 3
EPFL-VILAB/A2A-Video-tokenizers
Updated • 1
EPFL-VILAB/videoflextok_d18_d18_k600
Other • 1B • Updated • 8.41k
EPFL-VILAB/videoflextok_d18_d28
Other • 3B • Updated • 369 • 1