GroupViT VS Text-to-Image-Synthesis

Compare GroupViT vs Text-to-Image-Synthesis and see what are their differences.

GroupViT

Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022. (by NVlabs)

Text-to-Image-Synthesis

Pytorch implementation of Generative Adversarial Text-to-Image Synthesis paper (by aelnouby)
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GroupViT Text-to-Image-Synthesis
1 1
746 405
1.5% 0.5%
0.0 0.0
almost 3 years ago over 4 years ago
Python Python
GNU General Public License v3.0 or later GNU General Public License v3.0 only
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GroupViT

Posts with mentions or reviews of GroupViT. We have used some of these posts to build our list of alternatives and similar projects.

Text-to-Image-Synthesis

Posts with mentions or reviews of Text-to-Image-Synthesis. We have used some of these posts to build our list of alternatives and similar projects.
  • Text to Image generation using path file
    1 project | /r/pytorch | 31 May 2021
    I trained a text to image generation model based on https://github.com/aelnouby/Text-to-Image-Synthesis. Now I have 2 path files (one for generator , another for discriminator) . How to generate images using this path files?

What are some alternatives?

When comparing GroupViT and Text-to-Image-Synthesis you can also consider the following projects:

CapDec - CapDec: SOTA Zero Shot Image Captioning Using CLIP and GPT2, EMNLP 2022 (findings)

BigGAN-PyTorch - The author's officially unofficial PyTorch BigGAN implementation.

x-clip - A concise but complete implementation of CLIP with various experimental improvements from recent papers

feed_forward_vqgan_clip - Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt

EfficientFormer - EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]

storyteller - Multimodal AI Story Teller, built with Stable Diffusion, GPT, and neural text-to-speech

bonito - A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.

zsl-kg - Framework for zero-shot learning with knowledge graphs.

nncf - Neural Network Compression Framework for enhanced OpenVINO™ inference

pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch

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Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers
Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
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