V-Co: A Closer Look at Visual Representation Alignment via Co-Denoising
Paper • 2603.16792 • Published • 3
AI & ML interests
None defined yet.
Recent Activity
View all activity
akhaliq
submitted a
paper to Daily Papers 9 days ago
Post
3926
I brought DALL·E mini back to life 🤖🎨
You can try it here:
fffiloni/dalle-mini-reboot
And I also built a batch version using Hugging Face Jobs (up to 50 images per prompt):
fffiloni/dalle-mini-via-jobs
The goal was to stay close to the original JAX/Flax pipeline, while integrating it with modern tooling (Gradio + Jobs).
It ended up being a fun way to revisit this model — still weird, still fun 😄
You can try it here:
fffiloni/dalle-mini-reboot
And I also built a batch version using Hugging Face Jobs (up to 50 images per prompt):
fffiloni/dalle-mini-via-jobs
The goal was to stay close to the original JAX/Flax pipeline, while integrating it with modern tooling (Gradio + Jobs).
It ended up being a fun way to revisit this model — still weird, still fun 😄
- 3 replies
akhaliq
submitted a
paper to Daily Papers 11 days ago
Post
458
A clearer demo for TADA (now multilingual) 🔊🌍
I improved the public demo for TADA — a generative framework for speech modeling via text–acoustic dual alignment.
TADA models speech as a joint sequence of text tokens and acoustic tokens, using a transformer backbone to keep text and audio synchronized during generation.
The original demo already exposed these mechanisms, but the workflow made the pipeline hard to understand.
This updated demo makes the process clearer:
• load the model
• prepare a reference voice (optionally with transcript or Whisper auto-transcription)
• generate speech conditioned on that reference
It also adds multilingual support.
Presets are included for a few languages, but the model supports more:
English, French, Spanish, German, Arabic, Mandarin Chinese, Italian, Japanese, Polish, Portuguese
Feel free to try different voices, accents, or languages and see how the alignment behaves.
👉 fffiloni/tada-dual-alignment-tts-demo
Paper
TADA: A Generative Framework for Speech Modeling via Text-Acoustic Dual Alignment (2602.23068)
I improved the public demo for TADA — a generative framework for speech modeling via text–acoustic dual alignment.
TADA models speech as a joint sequence of text tokens and acoustic tokens, using a transformer backbone to keep text and audio synchronized during generation.
The original demo already exposed these mechanisms, but the workflow made the pipeline hard to understand.
This updated demo makes the process clearer:
• load the model
• prepare a reference voice (optionally with transcript or Whisper auto-transcription)
• generate speech conditioned on that reference
It also adds multilingual support.
Presets are included for a few languages, but the model supports more:
English, French, Spanish, German, Arabic, Mandarin Chinese, Italian, Japanese, Polish, Portuguese
Feel free to try different voices, accents, or languages and see how the alignment behaves.
👉 fffiloni/tada-dual-alignment-tts-demo
Paper
TADA: A Generative Framework for Speech Modeling via Text-Acoustic Dual Alignment (2602.23068)
freddyaboulton
updated 3
Spaces about 1 month ago
akhaliq
submitted 3
papers to Daily Papers about 2 months ago
akhaliq
submitted 3
papers to Daily Papers 2 months ago
akhaliq
submitted 4
papers to Daily Papers 3 months ago
ResTok: Learning Hierarchical Residuals in 1D Visual Tokenizers for Autoregressive Image Generation
Paper • 2601.03955 • Published • 3
FlowBlending: Stage-Aware Multi-Model Sampling for Fast and High-Fidelity Video Generation
Paper • 2512.24724 • Published • 8
Dream2Flow: Bridging Video Generation and Open-World Manipulation with 3D Object Flow
Paper • 2512.24766 • Published • 9
What matters for Representation Alignment: Global Information or Spatial Structure?
Paper • 2512.10794 • Published • 9
akhaliq
submitted a
paper to Daily Papers 4 months ago
abidlabs
updated a
Space 4 months ago
akhaliq
submitted a
paper to Daily Papers 4 months ago