GATOR: generative agentic 3D object reconstruction from casual images
kwangmoo_yi · x · 2026-10-21
Sharing the paper "GATOR: Generative and Agentic 3D Object Reconstruction From Casual Images", which combines generative models with agentic modeling to reconstruct 3D objects from casually captured images.
Related event: NVIDIA and KAIST unveil GATOR: casual photos to simulatable 3D objects(2 posts)→
More from Research
- Simons Foundation partners with Anthropic and OpenAI on grants for Math+AI institutes — windx0303 · 2026-10-21
- Tracing music paths in 3D space with Gemma embeddings — ryunuck · 2026-10-21
- Amazon paper: 54% of harness-evolution gains are benchmark overfitting — Wenxuan Ding · 2026-10-21
- Harmonic's Petar Veličković to keynote TPSA@POPL 2027, CFP open — satnam6502 · 2026-10-21
- Explainer video: fine-tuning on raw frontier-API synthetic data underperforms the base model — idanbeck · 2026-10-21
- EAGLE-4 speculative decoding goes open source with SGLang and vLLM plugins — testingcatalog · 2026-10-21