Hierarchical Curriculum Learning for Surgical Video Generation: Focusing on Bilateral Axillo-Breast Approach Robotic Thyroidectomy Datasets
cs.CV
Submitted: 2026-10-13
Updated: 2026-10-13
Code: https://github.com/hpcaitech/Open-Sor
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- SurGen: Text-Guided Diffusion Model for Surgical Video Generation
- Imagen Video: High Definition Video Generation with Diffusion Models
- EndoGaussian: Real-time Gaussian Splatting for Dynamic Endoscopic Scene Reconstruction
- SurReal: enhancing Surgical simulation Realism using style transfer
- See Through the Fog: Curriculum Learning with Progressive Occlusion in Medical Imaging
- Realistic Surgical Simulation from Monocular Videos
- Optical Flow Representation Alignment Mamba Diffusion Model for Medical Video Generation
- Open-Sora: Democratizing Efficient Video Production for All
Related papers
- Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
- AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
- Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
- MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
- TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
- A Survey on Efficient Vision-Language-Action Models