Marigold
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prs-eth
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Hi, nice work! I always want to compare the predicted depth with the colorful unprojected point cloud. I compared Marigold, ZoeDepth, OmniDatav2. I tried the following image.  Marigold: ...
I was told that Marigold maxing out my 24gb VRAM isn't supposed to happen and was told to post my settings here. I have a bat file that I run...
Thanks for sharing your code and model. The depth visualization is really awesome, especially sharp edges. I noticed that both training datasets(Hypersim and Virtual KITTI) were synthetic datasets. Have you...
In the current implementation, we have the following problem: If the user input an image of odd shape (either not divible by 8 or aspect ratio which don't allow to...
Thanks for your great work! This effect is currently the best and most effective model I have ever seen. I am not familiar with depth estimation work, so how can...
Can you share how the depth maps were used to generate the point clouds? I checked this issue ( https://github.com/prs-eth/Marigold/issues/6 ), but it doesn't specify any method on how to...
Hi I want to know if it's possible to add vector displacement ? it's allow to get better result than depth map on 3d objects depth vs vector : 
I was requesting the model in another format because I cannot convert it without the proper model configuration file (I've tried) Need them in onnx or .pt format specifically for...
During fine-tuning for depth estimateaion conditioned on input image, how to deal with the text prompt required in the original pre_trained text-to-image Stable Diffusion model?
As the title said, why the paper was named Marigold? I'm curious about this.
