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[CVPR2024] DiffInDScene: Diffusion-based High-Quality 3D Indoor Scene Generation

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Thanks for your good work and the released code. As mentioned in your paper, this work can also be utilized for MVS refinement. But I did not find any code...

I run unconditioned inference as, ``` $python main/test.py --cfg_dir utils/config/samples/cascaded_ldm ``` I got following error Traceback (most recent call last): File "main/test.py", line 58, in trainer.run_test() File "/home/diffindscene/trainer/cascaded_ldm_trainer.py", line 244,...

Hi, I think you did a great job! I have a question: Can I use this command # generate watertight meshes blenderproc run examples/datasets/front_3d_with_improved_mat/process_3dfront.py ${PATH-TO-3D-FUTURE-model} ${PATH-TO-3D-FRONT-texture} ${MESH_OUT_FOLDER} to get the...

![image](https://github.com/user-attachments/assets/61cc1901-0bae-45ef-a0c7-547c9535b6b7) I am running the inference script but getting the dataset issue. If I want to generate an arbitrary mesh through pretrained models, how can I do it?

Dear authors, Thanks for your good work. Which type of GPU was used in training, and how many were used? regards, zihui

Dear AkiraHero, I'm trying to implement the stage3 refinement part. I didn't see any code or ckpt that link to what you mentioned in the paper "MVS refinement". Cloud you...

Hi, tanks for your awesome work. I follow your installation guid using - pytorch 1.13.1 - torchsparse 1.4 - cuda 11.7 but when i running the infernce code , i...