CIPS icon indicating copy to clipboard operation
CIPS copied to clipboard

Official repository for the paper "Image Generators with Conditionally-Independent Pixel Synthesis" (CVPR2021, Oral)

Results 14 CIPS issues
Sort by recently updated
recently updated
newest added

Why do you have an generator and g_ema in your training code?And Your optimizer optimizes generator directly,why not optimizes g_ema? And why accumulate(g_ema, g_module, accum) ,not And why accumulate(g_ema, generator,...

I see that in the code for CIPS block, you use a Blur layer, which use 3x3 blur kernel so I think one pixel is affect by 8 surrouding pixel,...

/home/hello/miniconda3/envs/deepsort/bin/python3 /home/hello/桌面/CIPS-main/train.py LMDB_data1024*1024_anime --nproc_per_node=8 --master_port=1234 --n_sample=8 --batch=4 --fid_batch=8 --Generator=CIPSskip --output_dir=skip-[ffhq/churches] --img2dis --num_workers=16 Traceback (most recent call last): File "/home/hello/桌面/CIPS-main/train.py", line 16, in import model File "/home/hello/桌面/CIPS-main/model/__init__.py", line 1, in from...

Dear authors: Hello, thank you for sharing the great project. I would like to use your project for the baseline of my future research. Would you please share your discriminator's...

Hi, Really nice work! I wonder if you have checkpoints for models in the ablation study? For example, models trained without the coordinate embedding? THanks!

Dear authors: Hello. First of all, thank you for the sharing this great work. In the Read.me, you mentioned that you are going to share the progressive training details. When...

def __init__(self, size=256, hidden_size=512, n_mlp=8, style_dim=512, lr_mlp=0.01,

Thanks for sharing nice implementation! Could you explain how is the initialization constant being chosen in LFF block? https://github.com/saic-mdal/CIPS/blob/eadae6e45d8c1f3657faa88a065b59990747cd16/model/blocks.py#L517

Hi, excellent work! In your paper, you discuss a Landscapes dataset of FLICKR images that are randomly cropped to 256x256 for training. Figure 15 also shows results for patch-based training...