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2. Sora (text-to-video model) - Wikipedia

   en.wikipedia.org/wiki/Sora_(text-to-video_model)

   A video is generated in latent space by denoising 3D "patches", then transformed to standard space by a video decompressor. Re-captioning is used to augment training data , by using a video-to-text model to create detailed captions on videos.

3. MASSIVE (software) - Wikipedia

   en.wikipedia.org/wiki/MASSIVE_(software)

   These pre-recorded animations can come from motion-capture sessions or they can be hand-animated in other 3D animation software packages. In addition to the artificial intelligence abilities of Massive , there are numerous other features, including cloth simulation, rigid body dynamics and graphics processing unit ( GPU ) based hardware rendering.

4. Comparison of 3D computer graphics software - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_3D_computer...

   2D/3D toon Animation, Lighting, Modeling, Node based Material Creation / Texturing / 3D Texture Painting/ UV Mapping, Rendering (Internal, External, 3D Anaglyph and VR), 3D Rigging and Animation, Sculpting, Visual 3D Effects, Basic Post-Production Video Editing, Motion Tracking, Python Scripting, Fluid Simulation, Particles, Physics, Compositing

5. List of 3D rendering software - Wikipedia

   en.wikipedia.org/wiki/List_of_3D_rendering_software

   This page provides a list of 3D rendering software, the dedicated engines used for rendering computer-generated imagery. This is not the same as 3D modeling software , which involves the creation of 3D models, for which the software listed below can produce realistically rendered visualisations.

6. Blender (software) - Wikipedia

   en.wikipedia.org/wiki/Blender_(software)

   Blender has simulation tools for soft-body dynamics, including mesh collision detection, LBM fluid dynamics, smoke simulation, Bullet rigid-body dynamics, an ocean generator with waves, a particle system that includes support for particle-based hair, and real-time control during physics simulation and rendering.

7. Neural radiance field - Wikipedia

   en.wikipedia.org/wiki/Neural_radiance_field

   The technology democratizes a space previously only accessible by teams of VFX artists with expensive assets. Neural radiance fields now allow anyone with a camera to create compelling 3D environments. [3] NeRF has been combined with generative AI, allowing users with no modelling experience to instruct changes in photorealistic 3D scenes. [17]