Type a name, or just describe what you need. Results blend keyword and meaning-based search. 16 matches, each with an EU availability status.
Research
Research framework that generates collision-free, physically stable 3D indoor rooms from diffusion-sampled layouts.
Model
Research model that unifies 3D scene generation and reconstruction in a single pixel-space diffusion model.
Research method that generates compositional 3D scenes from a single image via object-to-scene distillation.
Research model generating 3D indoor scenes as sparse voxels, refined from 25 cm to 1.5625 cm by an autoregressive cascade.
Image-to-3D generator from Tsinghua and Tencent ARC Lab that builds meshes pixel-aligned to the input view.
Research method that turns a single photo or video into a simulation-ready 3D scene for robot reinforcement learning.
Research video generation framework that keeps scenes consistent after edits using RGB and depth context memory banks.
Research · Tencent
Tencent Hunyuan research framework that turns one text prompt into an explorable, editable open-world 3D scene.
Research framework for first-person world simulation driven by 3D human motion and anchor-view scene customization.
Viggle's physics-native world foundation model that generates 3D scenes, rig-free characters and motion from text or images.
Model · Xiaomi
Xiaomi's LLM-driven model that generates mixed audio scenes (speech, music, SFX, ambience) from structured text captions.
Model that reconstructs a single image into a 3D scene with separate, individually usable objects.
Research project for real-time autoregressive generation of multi-shot video narratives from shot-level prompts.
Model · Tencent ARC Lab
Video world model from Tencent ARC Lab that turns an image or text into camera-controlled explorable scenes with 3D-aware memory.
Model · World Labs
World Labs' world model that generates and reconstructs explorable 3D worlds from images, text, video or 3D input.
Research method that reconstructs PBR-ready indoor 3D scene meshes from multi-view images using a Trellis.2 generative prior.
