Denoising
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Benchmarks
Most implemented
Denoising Diffusion Probabilistic Models
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
High-Resolution Image Synthesis with Latent Diffusion Models
Denoising Diffusion Implicit Models
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Noise2Noise: Learning Image Restoration without Clean Data
Papers
fastWDM3D: Fast and Accurate 3D Healthy Tissue Inpainting
Healthy tissue inpainting has significant applications, including the generation of pseudo-healthy baselines for tumor growth models and the facilitation of image registration. In previous editions of the BraTS Local Syn…
3D InpaintingDenoisingImage GenerationImage Registration+1Diffuman4D: 4D Consistent Human View Synthesis from Sparse-View Videos with Spatio-Temporal Diffusion Models
This paper addresses the challenge of high-fidelity view synthesis of humans with sparse-view videos as input. Previous methods solve the issue of insufficient observation by leveraging 4D diffusion models to generate vi…
DenoisingGPUSimilarity-Guided Diffusion for Contrastive Sequential Recommendation
In sequential recommendation systems, data augmentation and contrastive learning techniques have recently been introduced using diffusion models to achieve robust representation learning. However, most of the existing ap…
Contrastive LearningData AugmentationDenoisingRecommendation Systems+2HUG-VAS: A Hierarchical NURBS-Based Generative Model for Aortic Geometry Synthesis and Controllable Editing
Accurate characterization of vascular geometry is essential for cardiovascular diagnosis and treatment planning. Traditional statistical shape modeling (SSM) methods rely on linear assumptions, limiting their expressivit…
DenoisingAirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air
Operating Large Language Models (LLMs) on edge devices is increasingly challenged by limited communication bandwidth and strained computational and memory costs. Thus, cloud-assisted remote fine-tuning becomes indispensa…
DenoisingSequential Decision MakingA statistical physics framework for optimal learning
Learning is a complex dynamical process shaped by a range of interconnected decisions. Careful design of hyperparameter schedules for artificial neural networks or efficient allocation of cognitive resources by biologica…
DenoisingMeta-Learning