EagleDepth: Efficient Fine-Grained Depth Estimation via Pixel Diffusion Decoder
cs.CV
Submitted: 2026-10-03
Updated: 2026-10-03
Sources
- Virtual KITTI 2
- Lotus-2: Advancing Geometric Dense Prediction with Powerful Image Generative Model
- Depth Anything 3: Recovering the Visual Space from Any Views
- Flow Matching for Generative Modeling
- PiD: Fast and High-Resolution Latent Decoding with Pixel Diffusion
- Masked Depth Modeling for Spatial Perception
- DIODE: A Dense Indoor and Outdoor DEpth Dataset
- VGGT-$\Omega$
- PointDiT: Pixel-Space Diffusion for Monocular Geometry Estimation
- InfiniDepth: Arbitrary-Resolution and Fine-Grained Depth Estimation with Neural Implicit Fields
- DepthVLA: Enhancing Vision-Language-Action Models with Depth-Aware Spatial Reasoning
- MagicVideo: Efficient Video Generation With Latent Diffusion Models
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