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Hi, I have re-train the pix2nerf with a single 3090 GPU on synchairs, but I have not achieve the view synthesis under the condition of a single view. If I...

RuntimeError: CUDA out of memory. Tried to allocate 768.00 MiB (GPU 0; 6.00 GiB total capacity; 3.51 GiB already allocated; 391.91 MiB free; 3.57 GiB reserved in total by PyTorch)

Hi there, I have used 2 T4 GPU to retrain the model using the train_con.py script. The issue(cleanup function) persists across 2 different datasets, CARLA and CelebA. I would like...

1. Render novel views of the given image: the source image: ![0](https://user-images.githubusercontent.com/75575496/224205120-eb976992-e581-473b-984e-6b58ab5f2535.png) the new view: ![gif](https://user-images.githubusercontent.com/75575496/224204923-db03e8c0-b5f4-402c-9ec6-43c9124bb76f.gif) the reconstruction: ![reconstruction](https://user-images.githubusercontent.com/75575496/224205028-b9050c4d-2f63-41a8-bc55-21b9ef172e64.png) the hybrid optimization: ![gif](https://user-images.githubusercontent.com/75575496/224205368-7975a828-062f-457d-b145-cce56a92a30c.gif) ![grid](https://user-images.githubusercontent.com/75575496/224205377-f3702f3f-49c5-4c41-8145-87ace8f64873.png) Does anyone know how to improve...

input an image and I want to output my own 3D model

![image](https://github.com/primecai/Pix2NeRF/assets/50042493/ac230181-fc50-429b-8772-f0785f7dfb74) Hi, I have trained the celeba in a single 3090. But when I finish 30k iterations, the program reports KeyError: 'batch_size', do I need to modify the parameters? Would...

First of all, thank you for your work! When I used code to train my data, such problems occurred, which could not be solved. I hope you can make valuable...

(Pix2NeRF) bash-4.4$ CUDA_VISIBLE_DEVICES=0,1 python3 train_con.py --curriculum=celeba --output_dir='/data/yshan/data/Img/pix2NerfOutput' --dataset_dir='/data/yshan/data/Img/img_align_celeba' --encoder_type='CCS' --recon_lambda=5 --ssim_lambda=1 --vgg_lambda=1 --pos_lambda_gen=15 --lambda_e_latent=1 --lambda_e_pos=1 --cond_lambda=1 --load_encoder=1 Namespace(n_epochs=3000, sample_interval=1000, output_dir='/data/yshan/data/Img/pix2NerfOutput', load_dir='/data/yshan/data/Img/pix2NerfOutput', curriculum='celeba', eval_freq=5000, port='12354', set_step=None, model_save_interval=200, pretrained_dir='', wandb_name='', wandb_entity='', wandb_project='',...