We present DreamPose, a diffusion-based method for generating animated
f...
Animating portraits using speech has received growing attention in recen...
We present a new implicit warping framework for image animation using se...
Given a portrait image of a person and an environment map of the target
...
We present a video generation model that accurately reproduces object mo...
Recommendation systems focus on helping users find items of interest in ...
Existing conditional image synthesis frameworks generate images based on...
We propose a neural talking-head video synthesis model and demonstrate i...
The generative adversarial network (GAN) framework has emerged as a powe...
Video-to-video synthesis (vid2vid) aims for converting high-level semant...
Conventional CNNs for texture synthesis consist of a sequence of
(de)-co...
Dancing to music is an instinctive move by humans. Learning to model the...
Video-to-video synthesis (vid2vid) aims at converting an input semantic
...
We propose spatially-adaptive normalization, a simple but effective laye...
In this paper, we present a simple yet effective padding scheme that can...
We study the problem of video-to-video synthesis, whose goal is to learn...
Deep neural networks have largely failed to effectively utilize syntheti...
Existing deep learning based image inpainting methods use a standard
con...
We present a new method for synthesizing high-resolution photo-realistic...
Light field cameras have many advantages over traditional cameras, as th...
With the introduction of consumer light field cameras, light field imagi...
We introduce a new light-field dataset of materials, and take advantage ...