EPO improves 3D foundation models by aligning edges, poses, and depth
ducha_aiki · x · 2026-07-21
The paper, EPO: Boosting 3D Foundation Models with Edge-based Pose Optimization, proposes an optimization method that uses edge alignment and depth-based point-to-edge correspondences to refine camera pose and depth.
Key pieces include:
- building distance transform fields from extracted image edges
- jointly optimizing camera parameters, poses, and depth modules
- using a two-phase forward loop that turns on depth optimization once pose changes stabilize
- implementing parts of the pipeline with fused Triton kernels
The figures show edge alignment improving after optimization, and the algorithm lists the full initialization and training loop.
More from Embodied
- Humanoid raises $152 million at a $1.35 billion valuation, becoming Europe’s first humanoid robotics unicorn — Jasonio · 2026-07-22
- Tesla expands Robotaxi rides to seven areas, including new Orlando and Tampa zones — elonmusk · 2026-07-22
- Hands-on robotics workshop on Saturday may be the last in-person session before August — StewartalsopIII · 2026-07-22
- NVIDIA pitches World Foundation Models as a way to scale physical AI data generation — MonaJalal_ · 2026-07-22
- RoboMME Podcast Preview: Benchmarking Memory for Robotic Policies — chris_j_paxton · 2026-07-21
- Gritt says an 8-person crew now installs 3,000 to 4,000 solar panels a day — HaktanSuren · 2026-07-21