www.instagram.com/fabianoefner/

Despilling is arguably the most important step to get right when pulling a key. A great despill can often hide imperfections in your alpha channel & prevents tedious painting to manually fix edges.

benmcewan.com/blog/2018/05/20/understanding-despill-algorithms/

https://designyoutrust.com/2024/11/artist-duo-creates-absolutely-amazing-the-beatles-collectable-toys

https://yangchris11.github.io/samurai

https://github.com/yangchris11/samurai

https://generative-world-explorer.github.io

Planning with partial observation is a central challenge in embodied AI. A majority of prior works have tackled this challenge by developing agents that physically explore their environment to update their beliefs about the world state. However, humans can imagine unseen parts of the world through a mental exploration and revise their beliefs with imagined observations. Such updated beliefs can allow them to make more informed decisions at the current step, without having to physically explore the world first. To achieve this human-like ability, we introduce the Generative World Explorer (Genex), a video generation model that allows an agent to mentally explore a large-scale 3D world (e.g., urban scenes) and acquire imagined observations to update its belief about the world .

FaceTracker for Blender is:

– Markerless facial mocap: capture facial performance and head motion with a matching geometry
– Custom face mesh generation: create digital doubles using snapshots of video frames (available with FaceBundle)
– 3D texture mapping: beauty work, (de)ageing, relighting
– 3D compositing: add digital make-up, dynamic VFX, hair and more
– (NEW) Animation retargeting: convert facial animation to ARKit blendshapes or Rigify rig in one click

https://keentools.io/products/facetracker-for-blender

https://studio.morflax.com/v2

blendermarket.com/products/the-city-generator

https://theroadsmustroll.com

https://80.lv/articles/check-out-this-blender-add-on-for-building-roads-bridges