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20112023
most citedGenerative Adversarial Talking Head: Bringing Portraits to Life with a Weakly Supervised Neural Network

29 citations · 181 across the 51 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021

Multi-attribute Pizza Generator: Cross-domain Attribute Control with Conditional StyleGAN

Fangda Han, Guoyao Hao, Ricardo Guerrero +1

Multi-attribute conditional image generation is a challenging problem in computervision. We propose Multi-attribute Pizza Generator (MPG), a conditional Generative Neural Network (…

cs.LG2021

DAReN: A Collaborative Approach Towards Reasoning And Disentangling

Pritish Sahu, Kalliopi Basioti, Vladimir Pavlovic

Computational learning approaches to solving visual reasoning tests, such as Raven's Progressive Matrices (RPM), critically depend on the ability to identify the visual concepts us…

cs.CV2021

Cross-Modal Coherence for Text-to-Image Retrieval

Malihe Alikhani, Fangda Han, Hareesh Ravi +3

Common image-text joint understanding techniques presume that images and the associated text can universally be characterized by a single implicit model. However, co-occurring imag…

cs.LG2021★ 3 cited

Reducing the Amortization Gap in Variational Autoencoders: A Bayesian Random Function Approach

Minyoung Kim, Vladimir Pavlovic

Variational autoencoder (VAE) is a very successful generative model whose key element is the so called amortized inference network, which can perform test time inference using a si…

cs.CV2021

CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval

Hai X. Pham, Ricardo Guerrero, Jiatong Li +1

Despite the abundance of multi-modal data, such as image-text pairs, there has been little effort in understanding the individual entities and their different roles in the construc…