(1)使用了最近GAN文献的模型结构已经被完善和探索的非常好了。我这里理解为GAN前期被投入了大量的科研成本,就像一件橙色武器被强化了10次,比一件0级金色武器厉害,并不是因为金色武器比橙色武器差。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...
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 - FoundationVision/LlamaGen
python3 autoregressive/sample/sample_c2i.py --vq-ckpt ./pretrained_models/vq_ds16_c2i.pt --gpt-ckpt ./pretrained_models/c2i_L_384.pt --gpt-model GPT-L --image-size 384 # or python3 autoregressive/sample/sample_c2i.py --vq-ckpt ./pretrained_models/vq_ds16_c2i.pt --gpt-ckpt ./...
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...
什么gan，diffusion都打不过next token ancestor is all you need interpretability is a joke 越简单的...
Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation image-generationllamaauto-regressive-modeldiffusiontext2imagediffusion-modelsllm UpdatedAug 15, 2024 Python IntelLabs/fastRAG Star1.4k Efficient Retrieval Augmentation and Generation Framework ...
[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive i