[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-diffusion-models":3},{"tag":4,"articles":10},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":9},"e8bbe167-c231-405e-9b5f-7979d30e794a","diffusion models","diffusion-models",1,null,[11,20,27,34,41,48],{"id":12,"slug":13,"title":14,"summary":15,"category":16,"image_url":17,"cover_image":17,"language":18,"created_at":19},"bf52fd96-16da-4e23-8780-9a524d6b3566","klip-localized-shift-detection-inverse-problems-en","KLIP spots localized shift in inverse problems","KLIP uses KL divergence between diffusion priors and posteriors to detect and localize OOD shifts in inverse problems.","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780294688783-58lq.png","en","2026-06-01T06:17:41.213124+00:00",{"id":21,"slug":22,"title":23,"summary":24,"category":16,"image_url":25,"cover_image":25,"language":18,"created_at":26},"d2789ba9-bfb3-43bc-a14f-5212834da5a8","mllms-subject-driven-image-generation-en","MLLMs for cleaner subject-driven image generation","This paper uses MLLMs plus VAE identity conditioning to improve subject-driven image generation and reduce copy-paste artifacts.","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779776770975-82hd.png","2026-05-26T06:25:40.47126+00:00",{"id":28,"slug":29,"title":30,"summary":31,"category":16,"image_url":32,"cover_image":32,"language":18,"created_at":33},"9e4cc5d5-2a7b-4175-b42c-3f960810da34","carv-cuts-diffusion-teacher-gradient-variance-en","CARV cuts diffusion-teacher gradient variance","CARV reduces Monte Carlo variance in diffusion-teacher pipelines by reusing expensive upstream work and smarter noise sampling.","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779343556363-bary.png","2026-05-21T06:05:31.21684+00:00",{"id":35,"slug":36,"title":37,"summary":38,"category":16,"image_url":39,"cover_image":39,"language":18,"created_at":40},"0b50b902-3a6d-4f7c-b90e-e3c204510120","normalizing-trajectory-models-4-step-generation-en","Normalizing Trajectory Models for 4-Step Generation","NTM turns few-step generation into an exact-likelihood flow model and hits strong text-to-image results in four steps.","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778480456428-p2u1.png","2026-05-11T06:20:34.76784+00:00",{"id":42,"slug":43,"title":44,"summary":45,"category":16,"image_url":46,"cover_image":46,"language":18,"created_at":47},"70ef52bd-60f4-42ce-8ef8-9344e65d96d8","actcam-joint-camera-motion-control-en","ActCam adds joint camera and motion control","ActCam is a zero-shot way to steer both actor motion and camera path in video generation without training a new model.","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778220661882-aj3y.png","2026-05-08T06:10:39.382021+00:00",{"id":49,"slug":50,"title":51,"summary":52,"category":16,"image_url":53,"cover_image":53,"language":18,"created_at":54},"28788ebd-b9d7-4210-9669-ee04b0268add","enhancing-diversity-diffusion-transformers-en","Making AI Art Less Boring: Repulsion Tricks for Diverse Diffusion Images","Researchers introduce an on-the-fly repulsion mechanism in diffusion transformers that prevents mode collapse, generating more creative and diverse text-to-image results.","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1774939950631-tz6s.png","2026-03-31T06:01:25.391493+00:00"]