Top Tweets for #DiffusionModels
Diffusion model removes localized corruptions from audio without paired training data. Outperforms source separation baselines. Code released. #AudioRestoration #DiffusionModels #MIR https://t.co/SnxWZnOR3D
Guide melody in audio diffusion models without retraining or paired data. Differentiable pitch detector steers sampling at inference time. #AudioGeneration #DiffusionModels https://t.co/yhMqVxyrMv
Mercury 3 uses diffusion to refine text in parallel. Inception claims 1,000+ tokens/sec; those are company-reported results. Faster replies could matter for voice and tutoring, but test quality and cost too. #GenAI #DiffusionModels
نصيحة لو بتشتغل على موديلات diffusion للصور أو الفيديو: دوّر الأول على الـ Lightning LoRA بتاعته ⚡
أغلب الموديلات زي Wan 2.2 و Qwen-Image بينزل لها واحدة (غالبًا من lightx2v)، وبتقلل الـ denoising steps لـ 4 بس بدل عشرات الخطوات 🧵
#GenerativeAI #DiffusionModels #AI
Is Mercury 3 really faster than GPT-6 and Claude? A 48,000-call benchmark reveals how Inception's diffusion LLM performs against its rivals.
By @zbruceli
#diffusionmodels #llm...Show more
LCC 344 - Feature flags - 2^n raisons de ne pas dormir la nuit #IA #LLM #ModelesDeDiffusion #DiffusionModels #Opus55 #GPT6 #GoogleArgon #Jev
https://t.co/gQMim7XdmR
https://t.co/TmWXVFKfCE
🎉 Four of our papers were accepted to the NeurIPS 2026 workshops last week, including one oral presentation.
Huge congrats and thanks to all my co-authors!
#NeurIPS2026 #OnDeviceAI #LLM #SpeculativeDecoding #DiffusionModels #TestTimeAdaptation #ContinualLearning
Running generative AI usually requires massive compute. So how do you build an offline AI art generator using hardware you already have?
#HardwareEngineering #RaspberryPi #DiffusionModels #EdgeAI #Hackster
New generative model designs airfoils and turbine blades with 10x less data than GANs/VAEs — while staying geometry-valid and controllable. Meet DiffGeo to appear in the AIAA journal https://t.co/58CT3FH12Z. #GenerativeAI #AeroDesign #DiffusionModels #CFD
Continuous diffusion models are cool, but everyone glosses over the compute. They need way more steps than autoregressive decoding, and that's a real deployment headache. My take: it's the thing that'll hold them back in practice.
#CDLM #DiffusionModels #AI #ToolDeckAI
Ever wanted to generate art like Gustav Klimt with AI? Meet klimt-diffusion, a diffusion model that brings the golden, ornamental style to life. It uses DDPMPipeline, so you can create stunning, Klimt-inspired images from noise. #AIArt #DiffusionModels
👥 Organized by:
@NiJinjie @MonsefiAmin @YuchenZhu_ZYC @sansa19739319 Irina Belousova, @qizhex1 , @YizheZhangNLP @PavloMolchanov
We look forward to bringing together researchers working on #DiffusionModels, #LLMs, #Reasoning, and non-autoregressive generation!
@NeurIPSConf 👥 Organized by:
@NiJinjie @MonsefiAmin @YuchenZhu_ZYC @sansa19739319 Irina Belousova, Michael Qizhe Shieh, @YizheZhangNLP @PavloMolchanov
We look forward to bringing together researchers working on #DiffusionModels, #LLMs, #Reasoning, and non-autoregressive generation!
An image is millions of numbers.
A video is a spacetime volume in latent space.
Jace’s Question #12: The Cost of Seeing
Technical Deep Dive
AI builds vision around what is most likely.
Humans build vision around what to express.
#MeaningInTheAIEra #AIvision #DiffusionModels
AI doesn’t draw. It calculates. A lot.
How AI actually sees images and videos
and why it costs so much to create them.
Jace’s Question #12: The Cost of Seeing
The cost of seeing is real.
The cost of thinking differently is higher.
#MeaningInTheAIEra #LatentSpace #ComputeCost
ICML 1/7: Scheduling Thoughts — Learning the Order of Thought in Diffusion Language Models. https://t.co/JYaGXYwjoU
#ICML2026 #DiffusionModels #LLMReasoning
7/8
Everything is open. Code, trained model weights, summary statistics and polygenic scores:
🔗 https://t.co/baRYH7EsV0
📄 Paper: https://t.co/iWp6exHAft
#MachineLearning #GWAS #PRS #CardiacMRI #UKBiobank #DiffusionModels #ML #AI #ComputerVision
8/8 🙏 Huge thanks to my amazing co-authors: Ayush Raina, @rvbabuiisc, and @OPatashnik!
Check out our preprint and examples on the project page!
🔗 https://t.co/Tohy8MkwE5
Let me know your thoughts! 👇
#DiffusionModels #ComputerVision #MachineLearning #CVPR #AIresearch
9/ Project page:
https://t.co/ThOKAV6PDp
Paper:
https://t.co/ERrQXYjdNv
#ComputerVision #ImageRestoration #DiffusionModels #FaceRestoration #CVPR2026
💡 Title
CollectionLoRA: Collecting 50 Effects in 1 LoRA via Multi-Teacher On-Policy Distillation
🔗 Paper URL
https://t.co/oFSI9FpTud
#CollectionLoRA #DiffusionModels
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