Suchergebnisse - (conditional OR conditioning) variational autoencoder adaptive synthesis~

Inference-Reconstruction Variational Autoencoder for Light Field Image Reconstruction von Han, Kang, Xiang, Wei

“… In this paper, we propose an inference-reconstruction variational autoencoder (IR-VAE) to reconstruct a dense light field image out of four corner reference views in a light field image …”
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Semi-Identical Twins Variational AutoEncoder for Few-Shot Learning von Zhang, Yi, Huang, Sheng, Peng, Xi, Yang, Dan

“… Inspired by some genetic characteristics of semi-identical twins, a novel multimodal generative FSL approach was developed named semi-identical twins variational autoencoder (STVAE …”
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CaRoLS: Condition-adaptive multi-level road layout synthesis von Feng, Tian, Li, Long, Li, Weitao, Li, Bo, Shen, Junao

“… We propose CaRoLS, a unified two-stage method for condition-adaptive multi-level road layout synthesis …”
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Optimizing Diffusion Model Training Efficiency to Generate High-Resolution Images von Wang, Junhua, Jiang, Yuan

“… , and constructs a fusion architecture of conditional input and latent representation. This paper uses Vector Quantized-Variational AutoEncoder (VQ-VAE …”
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Deep Probabilistic Modeling for Causal Inference and Decision Making von Wu, Yulun

“… Prior works using variational inference in counterfactual generative modeling have been focusing …”
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DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations von Park, Dogyun, Kim, Sihyeon, Lee, Sojin, Kim, Hyunwoo J

“… To address this limitation, we propose Domain-agnostic Latent Diffusion Model for INRs (DDMI) that generates adaptive positional embeddings instead of neural networks' weights …”
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