Results 31 to 40 of about 38,951,336 (344)
SMPLicit: Topology-aware Generative Model for Clothed People [PDF]
Computer Vision and Pattern Recognition, 2021 In this paper we introduce SMPLicit, a novel generative model to jointly represent body pose, shape and clothing geometry. In contrast to existing learning-based approaches that require training specific models for each type of garment, SMPLicit can ...
Enric Corona +4 more
semanticscholar +1 more source
Tree-Invent: A novel molecular generative model constrained with topological tree [PDF]
, 2023 De novo molecular design plays an important role in drug discovery. Here a novel generative model, Tree-Invent, was proposed to integrate topological constraints in the generation of molecular graph.
HongMing, Chen, Mingyuan, Xu
core +1 more source
EffUnet-SpaGen: An Efficient and Spatial Generative Approach to Glaucoma Detection
Journal of Imaging, 2021 Current research in automated disease detection focuses on making algorithms “slimmer” reducing the need for large training datasets and accelerating recalibration for new data while achieving high accuracy. The development of slimmer models has become a
Venkatesh Krishna Adithya +7 more
doaj +1 more source
DiM: Distilling Dataset into Generative Model [PDF]
ECCV Workshops, 2023 Dataset distillation reduces the network training cost by synthesizing small and informative datasets from large-scale ones. Despite the success of the recent dataset distillation algorithms, three drawbacks still limit their wider application: i).
Kai Wang +5 more
semanticscholar +1 more source
Frontiers in Artificial Intelligence, 2020 The Free Energy Principle and Active Inference Framework (FEP-AI) begins with the understanding that persisting systems must regulate environmental exchanges and prevent entropic accumulation.
Adam Safron
doaj +1 more source
GIRAFFE HD: A High-Resolution 3D-aware Generative Model [PDF]
Computer Vision and Pattern Recognition, 2022 3D-aware generative models have shown that the introduction of 3D information can lead to more controllable image generation. In particular, the current state-of-the-art model GIRAFFE [38] can control each object's rotation, translation, scale, and scene
Yang Xue +3 more
semanticscholar +1 more source
Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment [PDF]
Computer Vision and Pattern Recognition, 2022 Training a generative adversarial network (GAN) with limited data has been a challenging task. A feasible solution is to start with a GAN well-trained on a large scale source domain and adapt it to the target domain with a few samples, termed as few shot
Jiayu Xiao +4 more
semanticscholar +1 more source
MultiVI: deep generative model for the integration of multimodal data
Nature Methods, 2023 By learning a joint representation using deep generative modeling, MultiVI integrates multimodal and single-modality single-cell datasets, which enhances multiple functionalities.
Tal Ashuach +5 more
semanticscholar +1 more source
Elucidating the Design Space of Diffusion-Based Generative Models [PDF]
Neural Information Processing Systems, 2022 We argue that the theory and practice of diffusion-based generative models are currently unnecessarily convoluted and seek to remedy the situation by presenting a design space that clearly separates the concrete design choices.
Tero Karras +3 more
semanticscholar +1 more source
A semantic segmentation scheme for night driving improved by irregular convolution
Frontiers in Neurorobotics, 2023 In order to solve the poor performance of real-time semantic segmentation of night road conditions in video images due to insufficient light and motion blur, this study proposes a scheme: a fuzzy information complementation strategy based on generative ...
Yang Xuantao, Han Junying, Liu Chenzhong
doaj +1 more source