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InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

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I keep getting this error but couldnt find any solutions, everything is in the place, maybe i should add something to env variables? Or install something so it will work...

The generated 3D mode is blurry ![image](https://github.com/TencentARC/InstantMesh/assets/132218926/d7a73ec3-7447-4958-868b-0c15bb7b24fb) ![image](https://github.com/TencentARC/InstantMesh/assets/132218926/cb642282-2543-4e4b-99df-3a0207fce799)

torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 512.00 MiB. GPU 0 has a total capacty of 23.69 GiB of which 368.94 MiB is free. Including non-PyTorch memory, this process...

It seems that objects predominantly colored in white, such as toilet paper, are not detected effectively, possibly due to the model being trained primarily with images featuring white backgrounds. Conversely,...

Are you planning to release the code and instructions to prepare the data? For example, currently the training functionality does not work because it requires `data/objaverse/filtered_obj_name.json`

This adds several improvements: [x] Support for consumer GPUs for hosting [x] Local model cache for docker container to avoid re-downloading the models on restart [x] Fixes for deprecated container...

As the title suggests, I would like to ask if there is a way to adjust the parameters of the model so that it can be imported into the scene...

Is it possible to share the finetuning code of zero123plus? I tried to reimplement as the paper using the same batch size and steps, but the results are far from...

Please check with windows Ninja error is coming - while running run.py ``` C:\Users\sum11525\Anaconda3\envs\instantmesh\lib\site-packages\nvdiffrast\common\texture.cu -o texture.cuda.o CreateProcess failed: The system cannot find the file specified. ninja: fatal: ReadFile: The handle...

Please check the following error comes when try to run through command line in linux system ``` python run.py configs/instant-mesh-large.yaml examples/hatsune_miku.png --save_video Seed set to 42 Loading diffusion model ......