depth estimation
The process of predicting the distance of objects from a viewpoint in a scene, often used in computer vision tasks. Accurate depth estimation is crucial for applications such as autonomous driving and augmented reality.
- 3D Gaussian Flats: Hybrid 2D/3D Photometric Scene Reconstruction
- DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks
- DualFocus: Depth from Focus with Spatio-Focal Dual Variational Constraints
- FlexWorld: Progressively Expanding 3D Scenes for Flexible-View Exploration
- PPMStereo: Pick-and-Play Memory Construction for Consistent Dynamic Stereo Matching
- Perception Encoder: The best visual embeddings are not at the output of the network
- Perception Encoder: The best visual embeddings are not at the output of the network
- RPG360: Robust 360 Depth Estimation with Perspective Foundation Models and Graph Optimization
- RayFusion: Ray Fusion Enhanced Collaborative Visual Perception
- SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models