Local image generation using VQGAN-CLIP or CLIP guided diffusion
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Updated
Nov 9, 2022 - Python
Local image generation using VQGAN-CLIP or CLIP guided diffusion
Elucidating The Design Space of Classifier-Guided Diffusion Generation
Official pytorch implementation of "Towards Practical Plug-and-Play Diffusion Models" in CVPR2023
A diffusion model-based stereo depth estimation framework that can predict state-of-the-art depth and restore noisy depth maps for transparent and specular surfaces
Exploring classifier-free guidance in a DDPM language model for text generation towards emotion targets.
Modular image generation library
Cross-City Building Instance Segmentation: From More Data to Diffusion-Augmentation (IEEE BigData 2024)
cooking some neural nets
[NeurIPS 2024] Official PyTorch implementation for the paper "AdjointDEIS: Efficient Gradients for Diffusion Models"
[IJCB 2024] Official PyTorch implementation for the paper "Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs"
Cross-City Building Instance Segmentation: From More Data to Diffusion-Augmentation
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