Aradhye2002 / EcoDepth
[CVPR'2024] Official implementation of the paper "ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation"
Why this job: matched by what the repo talks about: diffusion, model, implementation, official
What it does
Welcome to the restructured codebase for ECoDepth, our official implementation for monocular depth estimation (MDE) as presented in our CVPR 2024 paper. This repository has been significantly reorganized to improve usability, readability, and extensibility.
Get started
conda install pytorch==2.5.0 torchvision==0.20.0 torchaudio==2.5.0 pytorch-cuda=12.4 -c pytorch -c nvidia- Maintenance
- Inactive
- Last commit 11 months ago
- Stars
- 221
- +1 this week
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.0.0
- Released 21 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 79% closed
- 6 still open
- Pull requests
- 2 merged
- 2 waiting
- Releases
- 2
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
- Shell <1%
Topics
- cvpr2024
- deep-learning
- depth-estimation
- metric-depth-estimation
- monocular-depth-estimation
- stable-diffusion
- zero-shot-transfer
Project record
- JobImage generation
- StatusListed
- Commits42
- Forks22
- Watching5
- Stars in 28 days+1
- CreatedMar 17, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026