Titas Anciukevičius

[Titas Anciukevičius @Anciukevicius]

If you're interested in how image diffusion can be adapted to learn about the 3D world, don't miss our poster (25) presentation this afternoon at #CVPR2023.

[AK @_akhaliq]

RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation
abs: https://t.co/FnqzvKa6sQ

[Paul Henderson @pmh47_ml]

Happy to announce our work on enhancing out-of-distribution generalisation in object-centric world models has been accepted at #NeurIPS2022! A quick summary... @GlasgowCS @IDAglasgow @InfAtEd @Snap @NeurIPSConf

[Kevin Patrick Murphy @sirbayes]

Some random musings on how the whole "AI scaling" debate. It is clear that neural nets can model any predictive distribution p(x_future|x_past) given enough parameters and data, since they are universal approximators;

[arxiv @arxiv_org]

Object-Centric Image Generation with Factored Depths, Locations, and Appearances. https://t.co/hLRXr3GATo