[ICCV 2025] Official repository of "One Look is Enough"
☆19Dec 16, 2025Updated 9 months ago
Alternatives and similar repositories for One-Look-is-Enough
Users that are interested in One-Look-is-Enough are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICLR 2026] PatchRefiner V2: Fast and Lightweight Real-Domain High-Resolution Metric Depth Estimation☆28Feb 21, 2026Updated 7 months ago
- DissolveStereo: Coarse Depth Injection for Zero-Shot Stereo Video Generation [SIGGRAPH/TOG 2026]☆18May 3, 2026Updated 5 months ago
- Official implementation of SPFSplatV2: Efficient Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views☆53Jun 30, 2026Updated 3 months ago
- [ICCV 2025] Amodal Depth Anything: Amodal Depth Estimation in the Wild☆44Feb 21, 2026Updated 7 months ago
- [ICCV 25] Seeing and Seeing Through the Glass: Real and Synthetic Data for Multi-Layer Depth Estimation☆45Aug 16, 2026Updated last month
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆51May 27, 2023Updated 3 years ago
- [ICML 2026] 🎨 Occluded 3D Scene Reconstruction from a Single Image.☆97Jun 9, 2026Updated 4 months ago
- The code of 'Towards Domain-agnostic depth completion'☆27Aug 4, 2022Updated 4 years ago
- Official implementation of "LocalBins: Improving Depth Estimation by Learning Local Distributions"☆26Jul 20, 2022Updated 4 years ago
- Official implementation of "Towards 3D Scene Reconstruction from Locally Scale-Aligned Monocular Video Depth (Boosting Monocular Depth Es…☆39Aug 7, 2022Updated 4 years ago
- [ECCV 2024] Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions☆93Sep 28, 2024Updated 2 years ago
- A toolbox for benchmarking SOTA discriminative and generative geometry estimation models.☆65Aug 29, 2024Updated 2 years ago
- Geometry Meets Vision: Revisiting Pretrained Semantics in Distilled Fields