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20182024
most citedOne-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing

22 citations · 56 across the 10 of their papers we have counts for

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16 papers · 1 filter

cs.CV2024

Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models

NVIDIA, :, Yuval Atzmon +29

We introduce Edify Image, a family of diffusion models capable of generating photorealistic image content with pixel-perfect accuracy. Edify Image utilizes cascaded pixel-space dif…

cs.CV2024

JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation

Yu Zeng, Vishal M. Patel, Haochen Wang +4

Personalized text-to-image generation models enable users to create images that depict their individual possessions in diverse scenes, finding applications in various domains. To a…

cs.CV2023★ 4 cited

DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion

Johanna Karras, Aleksander Holynski, Ting-Chun Wang +1

We present DreamPose, a diffusion-based method for generating animated fashion videos from still images. Given an image and a sequence of human body poses, our method synthesizes a…

cs.CV2022

SPACE: Speech-driven Portrait Animation with Controllable Expression

Siddharth Gururani, Arun Mallya, Ting-Chun Wang +2

Animating portraits using speech has received growing attention in recent years, with various creative and practical use cases. An ideal generated video should have good lip sync w…

cs.CV2022★ 8 cited

Implicit Warping for Animation with Image Sets

Arun Mallya, Ting-Chun Wang, Ming-Yu Liu

We present a new implicit warping framework for image animation using sets of source images through the transfer of the motion of a driving video. A single cross- modal attention l…

cs.CV2020★ 22 cited

One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing

Ting-Chun Wang, Arun Mallya, Ming-Yu Liu

We propose a neural talking-head video synthesis model and demonstrate its application to video conferencing. Our model learns to synthesize a talking-head video using a source ima…