Dimensions overall score 8.0

GitHub Code Pulse

No public code linked for this paper yet.

• PlaneCycle is a training-free, adapter-free operator for architecture-agnostic 2D-to-3D lifting of foundation models.method 95%
• PlaneCycle reuses the original pretrained 2D backbone by cyclically distributing spatial aggregation across orthogonal HW, DW, and DH planes throughout network depth.technical 90%
• The method introduces no additional parameters and is applicable to arbitrary 2D networks.technical 90%
• Without any training, the lifted models under linear probing outperform slice-wise 2D baselines and strong 3D counterparts on 3D classification and segmentation benchmarks.result 85%
• With full fine-tuning, PlaneCycle matches the performance of standard 3D architectures.result 85%
• Performance could vary with model architecture; results depend on the compatibility of existing 2D models with PlaneCycle's method.limitation 80%
• The method enables progressive 3D fusion while preserving the pretrained inductive biases of the original 2D model.technical 80%
• This research demonstrates that 3D capability can be unlocked from pretrained 2D foundation models without structural modification or retraining.result 90%

Competitive landscape

Competitor map is still being generated for this paper. Enable generation or check back soon.

Startup potential card