Universal Guidance for Diffusion ModelsThe official PyTorch implementation of Universal Guidance for Diffusion Models. This repository has python implementation of universal guidance algorithm that enables controlling diffusion models by arbitrary guidance modalities without the need to retrain any use-specific ...
这样policy产生的动作就能够施加在智能体上。 Diffusion Models for UPDP 这里diffusion model的作用就是估计一个分布ρ(τ|x0,c),也就是上面说的video generator。在sample过程中,作者使用了classifier-free guidance。 Decision Making with Videos 这部分详细描述了video generator以及inverse dynamics model. Universa...
3.5 Classifier-Free Guidance 3.6 Applications Zero-shot TTS & alignment-preserved style transfer Transient noise removal & content editing Diverse speech sampling & alignment-preserved style shuffling 4 Metrics Correctness and intelligibility Coherence Abstract Large-scale generative models such as GPT ...
We present MoE-DiffIR, an innovative universal compressed image restoration (CIR) method with task-customized diffusion priors. This intends to handle two pivotal challenges in the existing CIR methods: (i) lacking adaptability and universality for diffe
We propose a universal framework ST-LDM based on Swin-Transformer, which can be integrated into any latent diffusion model with training-free backward guidance. ST-LDM encompasses a global-perceptual autoencoder with adaptable compression scales and hierarchical visual features, parallel with deformable ...
2 changes: 1 addition & 1 deletion 2 ai_diffusion/ui/upscale.py Original file line numberDiff line numberDiff line change @@ -224,7 +224,7 @@ def _update_unblur_enabled(self): has_unblur = False if client := root.connection.client_if_connected: models = client.models.for_checkpoint...
Activated Li diffusion network in Li3La3Te2O12 In this section, we showcase the precision of CHGNet for general-purpose MD. Lithium-ion diffusivity in fast Li-ion conductors is known to show a drastic nonlinear response to compositional change. For example, stuffing a small amount of excess...
Quantum walk has been regarded as a primitive to universal quantum computation. In this paper, we demonstrate the realization of the universal set of quantum gates on two- and three-qubit systems by using the operations required to describe the single pa
While conventional deep learning approaches have notably improved the image quality across various tasks, they still suffer from (i) the high storage cost needed for various task-specific models and (ii) the lack of interactivity and flexibility, hindering their wider application. Drawing inspiration ...
Detection of single lesions has achieved promising accuracy overall. However, focusing solely on a specific type of lesion does not align with clinical workflow and may not provide sufficient guidance and reference for doctors. There exist correlations among certain lesions. For example, most advanced...