Top Tweets for #diffusionmodels
New to diffusion? Start with the prerequisite lectures on the basics:
π https://t.co/ue0f8KOkwU
All 10 lectures, slides and materials:
π https://t.co/6l7yRvycc7
Thanks to everyone who joined live and took part in the competition!
#DiffusionModels #GenAI #DeepLearning
Music inpainting outperforms diffusion baselines by guiding generation with similarity-matched segments. Model-agnostic framework enables better music restoration and context-aware editing. #MusicInpainting #DiffusionModels https://t.co/pThvrmlN6n
Personalize text-to-image diffusion with far less memory. Our new @qualcomm paper at #NeurIPS2026:
"Mix-Opt: Mixed Optimization for Memory-Efficient Personalization of Text-to-Image Diffusion Models"
@SeokeonC
https://t.co/2rdlLPU874
#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
Generally quite excited about all the methods moving beyond the pseudo-time setting of #DiffusionModels #FlowMatching and #StochasticInterpolants that have been popping up recently. Examples
https://t.co/w4ykUwZ7Nd
https://t.co/hM0kvKY6Uo
#PhysicalTime #DynamicalSystems #GenAI
π 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 β 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
Generating editable 3D meshes just took a giant leap forward. π¨
@HuggingPapers highlights @Microsoft's new SQuadGen framework, bringing diffusion models to 3D quad layout generation. #GenAI #3DModeling #DiffusionModels
x .com/HuggingPapers/status/2092866626941006012
π₯ 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 π₯ 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.
Jaceβs 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 doesnβt draw. It calculates. A lot.
How AI actually sees images and videos
and why it costs so much to create them.
Jaceβs 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 β 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:
π https://t.co/baRYH7EsV0
π Paper: https://t.co/iWp6exHAft
#MachineLearning #GWAS #PRS #CardiacMRI #UKBiobank #DiffusionModels #ML #AI #ComputerVision
8/8 π Huge thanks to my amazing co-authors: Ayush Raina, @rvbabuiisc, and @OPatashnik!
Check out our preprint and examples on the project page!
π https://t.co/Tohy8MkwE5
Let me know your thoughts! π
#DiffusionModels #ComputerVision #MachineLearning #CVPR #AIresearch
9/ Project page:
https://t.co/ThOKAV6PDp
Paper:
https://t.co/ERrQXYjdNv
#ComputerVision #ImageRestoration #DiffusionModels #FaceRestoration #CVPR2026
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