MDPBench: A Benchmark for Multilingual Document Parsing in Real-World Scenarios
Paper • 2603.28130 • Published • 7
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nielsr
submitted a
paper to Daily Papers 1 day ago
Post
2510
✅ Back up and running!
My TIGER app is now fully working again, with fixes and full compatibility with Gradio 6 🚀
It lets you:
- 🎙️ Separate multiple speakers from an audio file
- 🎬 Extract each speaker directly from a video
- 🎧 Split audio into dialog, music, and sound effects (DnR)
- 🎥 Apply DnR separation directly on videos
All powered by lightweight TIGER models for fast and efficient speech separation.
Try it here 👉 fffiloni/TIGER-audio-extraction
My TIGER app is now fully working again, with fixes and full compatibility with Gradio 6 🚀
It lets you:
- 🎙️ Separate multiple speakers from an audio file
- 🎬 Extract each speaker directly from a video
- 🎧 Split audio into dialog, music, and sound effects (DnR)
- 🎥 Apply DnR separation directly on videos
All powered by lightweight TIGER models for fast and efficient speech separation.
Try it here 👉 fffiloni/TIGER-audio-extraction
Post
2138
AniDoc is back 🎉
I’ve fixed the Space and brought it back to life:
- ✅ Working again after being broken for a while
- ✅ Updated to Gradio 6
- ✅ Compatible with ZeroGPU
- ✅ Output videos now preserve original resolution and FPS
I also added advanced controls so you can experiment more (tracking, seed, motion, sketch).
Try it here: fffiloni/AniDoc
I’ve fixed the Space and brought it back to life:
- ✅ Working again after being broken for a while
- ✅ Updated to Gradio 6
- ✅ Compatible with ZeroGPU
- ✅ Output videos now preserve original resolution and FPS
I also added advanced controls so you can experiment more (tracking, seed, motion, sketch).
Try it here: fffiloni/AniDoc
Post
4390
I’ve been working on a new mathematical approach to real-time video compositing and background removal, and I wanted to share a live demo.
Traditionally, real-time keyers either use 3D color-space bounding boxes (which struggle with semi-transparent hair and motion blur) or heavy Machine Learning models (which require massive GPU compute and often suffer from temporal "jitter" on the edges).
I wanted to see if I could solve this using purely deterministic math so it could run client-side in a standard browser.
The engine uses a custom mathematical framework I call CMT SRL SEFA. Instead of looking at raw color values or guessing semantics like an AI, it treats the video feed as complex-encoded sequences. It uses harmonic frequencies to map phase geometry and applies a "Stability Cost Function" to find the global minimum stability. In short: it isolates the foreground from the background by measuring signal complexity and structural contradictions.
Give it a try using your own messy plates and such. As I am not a VFX artist, I am curious to hear thoughts and what should be improved upon and made better
https://severian-cmt-sefa-realtime-vfx-keyer.hf.space/
Traditionally, real-time keyers either use 3D color-space bounding boxes (which struggle with semi-transparent hair and motion blur) or heavy Machine Learning models (which require massive GPU compute and often suffer from temporal "jitter" on the edges).
I wanted to see if I could solve this using purely deterministic math so it could run client-side in a standard browser.
The engine uses a custom mathematical framework I call CMT SRL SEFA. Instead of looking at raw color values or guessing semantics like an AI, it treats the video feed as complex-encoded sequences. It uses harmonic frequencies to map phase geometry and applies a "Stability Cost Function" to find the global minimum stability. In short: it isolates the foreground from the background by measuring signal complexity and structural contradictions.
Give it a try using your own messy plates and such. As I am not a VFX artist, I am curious to hear thoughts and what should be improved upon and made better
https://severian-cmt-sefa-realtime-vfx-keyer.hf.space/
- 2 replies
DongfuJiang
authored 3
papers 10 days ago
EvolveCoder: Evolving Test Cases via Adversarial Verification for Code Reinforcement Learning
Paper • 2603.12698 • Published
Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation
Paper • 2603.19220 • Published • 65
OpenResearcher: A Fully Open Pipeline for Long-Horizon Deep Research Trajectory Synthesis
Paper • 2603.20278 • Published • 91
nielsr
submitted a
paper to Daily Papers 12 days ago
nielsr
submitted a
paper to Daily Papers 16 days ago
Post
4096
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
nielsr
submitted a
paper to Daily Papers 17 days ago
Post
6406
We should really have a release date range slider on the /models page. Tired of "trending/most downloaded" being the best way to sort and still seeing models from 2023 on the first page just because they're embedded in enterprise pipelines and get downloaded repeatedly. "Recently Created/Recently Updated" don't solve the discovery problem considering the amount of noise to sift through.
Slight caveat: Trending actually does have some recency bias, but it's not strong/precise enough.
Slight caveat: Trending actually does have some recency bias, but it's not strong/precise enough.
- 3 replies
Post
478
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)
nielsr
authored a
paper 22 days ago
xianbao
submitted a
paper to Daily Papers 23 days ago
GeorgeBredis
authored a
paper about 1 month ago
GeorgeBredis
submitted a
paper to Daily Papers about 1 month ago
victor
submitted a
paper to Daily Papers about 1 month ago
nielsr
submitted a
paper to Daily Papers about 1 month ago
Post
3466
🤔 Who would win ?
- a fully subsidized ai lab
- 3 random students named
kurakurai ?
demo : Tonic/fr-on-device
if you like it give the demo a little star and send a shoutout to : @MaxLSB @jddqd and @GAD-cell for absolutely obliterating the pareto frontier of the french language understanding .
- a fully subsidized ai lab
OR - 3 random students named
demo : Tonic/fr-on-device
if you like it give the demo a little star and send a shoutout to : @MaxLSB @jddqd and @GAD-cell for absolutely obliterating the pareto frontier of the french language understanding .
- 4 replies