NVIDIA's World from Motion accepted to NeurIPS 2026: dynamic 3D from monocular video
Scobleizer · x · 2026-11-01
World from Motion has been accepted to NeurIPS 2026 as an NVIDIA collaboration. The method reconstructs dynamic 3D scenes from monocular video by conditioning a video model on 4D Gaussians, filling in regions the camera never observed.
The team released code, model weights, and DyCheck reproduction scripts; the paper will be presented at NeurIPS 2026 in Sydney.
More from Research
- Semantic bandit experiments show irrelevant wording skews LLM exploration-exploitation balance — burkov · 2026-11-01
- RoboColiseum robot benchmark: Claude Opus 5.5 scores 76.28, edging out GPT-6 Astra — jiqizhixin · 2026-11-01
- ETH Zurich releases EgoHTR: 150k-frame egocentric 4D dataset for humanoid terrain traversal — Scobleizer · 2026-11-01
- DiffusionART-Flash open-sourced: RL for diffusion models with 25x fewer training timesteps — YangYou1991 · 2026-11-01
- HuggingFace releases FineDNA dataset, turning Qwen3-14B into a DNA model that beats GPT-6.1 — loubnabnl · 2026-11-01
- If your AI scores 100%, your eval is wrong — an AI safety researcher's eval playbook — AI Engineer · 2026-11-01