Search Results for "complex"

...It retains the core promptable interface—accepting points, boxes, or masks—but incorporates architectural and training enhancements to produce higher-fidelity masks, better boundary adherence, and robustness to complex scenes. The updated model is optimized for faster inference and lower memory use, enabling real-time interactivity even on larger images or constrained hardware. SAM2 comes with pretrained weights and easy-to-use APIs, enabling developers and researchers to integrate promptable segmentation into annotation tools, vision pipelines, or downstream tasks. ...

...It predicts future video frames by analyzing motion and visual information from preceding frames. The architecture uses dynamic multi-scale voxel flow to estimate motion across different spatial resolutions. This approach helps model complex movements while managing computational requirements. The repository includes training and evaluation workflows for Cityscapes and KITTI driving datasets. Pretrained model weights are provided for reproducing experiments and running predictions. Researchers can explore inference examples through a Google Colab notebook. DMVFN is intended for computer vision research involving video forecasting, motion estimation, and temporal scene understanding.

...Based on research presented at ICCV 2019, it combines a learned neural renderer with model-based reinforcement learning. The agent determines stroke positions, shapes, and colors while planning how to approximate a target image. It can reproduce complex visual textures using hundreds of strokes. Training does not require examples of human painting movements or recorded brushstroke sequences. The repository includes pretrained models, alternative brush renderers, and testing scripts. Users can generate painting sequences and convert their frames into videos using FFmpeg. A Google Colab demonstration provides an accessible environment for experimentation.

This library contains among other things a set of graphical widgets for video output, performance evaluation and augmented reality. The library also provides classes for several data types usually required by computer vision and image processing applications such as vectors, matrices, quaternions and images. Thanks to a large number of wrapper functions these objects can be used with highly efficient functionality from third party libraries such as OpenCV, GNU Scientific Library,...