这样的沉没成本效益促使了GAN的良好发展,而且促使了openai未推出更好的扩散模型前的边际值很高。所谓预期就像一个函数的导数,可惜现在发展的函数要变天了。(2)GAN能在多样性和精确性中有很好的权衡。我不知道这点是如何做到的,精确性是由“对抗性”产生的。多样性是如何更好地产生呢?然后本文说,他们的目标是为或...
We can see that the ImageNet 128×\times128 model beats BigGAN-deep’s FID (6.02) after 500K training iterations, only one eighth of the way through training. Similarly, the ImageNet 256×\times256 model beats BigGAN-deep after 750K iterations, roughly a third of the way through training...
扩散模型(diffusion model)自2020年出的改良版DDPM,之后效果就直接上了一个台阶。并且也彻底的开启了在领域爆火起来,毕竟GAN已经从各个方面都经过了大量的改进和优化,可以发文章的点越来越少了,并且基准也越来越高。所以扩散模型最为一个非常有潜力的新方向,当然是科研界的一片绿洲啦。先贴Arxiv文章和github代码的...
广为人知的diffusion model beats gan,将能量函数取作分类器,来提升生成的质量 我们组的EGSDE,设计了一些语义的energy,使得diffusion model在一些图像翻译任务上达到了SoTA Generating High Fidelity Data from Low-density Regions using Diffusion Models,让energy为图和类别之间的匹配度,使得diffusion model能生成出一些...
Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation image-generationllamaauto-regressive-modeldiffusiontext2imagediffusion-modelsllm UpdatedAug 15, 2024 Python NVIDIA/Cosmos-Tokenizer Star1.5k Code Issues Pull requests A suite of image and video neural tokenizers ...
python3 autoregressive/serve/sample_c2i.py --vq-ckpt ./pretrained_models/vq_ds16_c2i.pt --gpt-ckpt ./pretrained_models/c2i_XXL_384.pt --gpt-model GPT-XXL --from-fsdp --image-size 384 The generated images will be saved to sample_c2i_vllm.png....
Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation - kenneth-zhao72/LlamaGen
auto-regressive形式的图像生成，有比diffusion更好的scalability：项目主页：https://var.vision/ ...
Diffusion Model Beats GAN video diffusion model 参考文献 deep unsupervised learning using Nonequilibrium Thermodynamics(提出了基本理论) Generative modeling by estimating gradients of the data distribution(NCSN) Denoising diffusion probabilistic models(DDPM) Diffusion models beats GAN Diffusion models are auto...
(2020), it takes about 20 hours to generate 50,000 small images with a DDPM, while a GAN can create the same amount in less than a minute using an Nvidia 2080 Ti GPU. There is an alternative method called Denoising Diffusion Implicit Model (DDIM) that stands out for its efficiency and...