Neural articulated radiance field
Abstract We present Neural Articulated Radiance Field (NARF), a novel deformable 3D
representation for articulated objects learned from images. While recent advances in 3D …
representation for articulated objects learned from images. While recent advances in 3D …
Deep person generation: A survey from the perspective of face, pose, and cloth synthesis
Deep person generation has attracted extensive research attention due to its wide
applications in virtual agents, video conferencing, online shopping, and art/movie …
applications in virtual agents, video conferencing, online shopping, and art/movie …
Everybody dance now
This paper presents a simple method for" do as I do" motion transfer: given a source video of
a person dancing, we can transfer that performance to a novel (amateur) target after only a …
a person dancing, we can transfer that performance to a novel (amateur) target after only a …
Multi-garment net: Learning to dress 3d people from images
Abstract We present Multi-Garment Network (MGN), a method to predict body shape and
clothing, layered on top of the SMPL model from a few frames (1-8) of a video. Several …
clothing, layered on top of the SMPL model from a few frames (1-8) of a video. Several …
Tailornet: Predicting clothing in 3d as a function of human pose, shape and garment style
In this paper, we present TailorNet, a neural model which predicts clothing deformation in
3D as a function of three factors: pose, shape and style (garment geometry), while retaining …
3D as a function of three factors: pose, shape and style (garment geometry), while retaining …
Progressive pose attention transfer for person image generation
This paper proposes a new generative adversarial network to the problem of pose transfer,
ie, transferring the pose of a given person to a target one. The generator of the network …
ie, transferring the pose of a given person to a target one. The generator of the network …
Fd-gan: Pose-guided feature distilling gan for robust person re-identification
Person re-identification (reID) is an important task that requires to retrieve a person's images
from an image dataset, given one image of the person of interest. For learning robust person …
from an image dataset, given one image of the person of interest. For learning robust person …
Liquid warping gan: A unified framework for human motion imitation, appearance transfer and novel view synthesis
We tackle the human motion imitation, appearance transfer, and novel view synthesis within
a unified framework, which means that the model once being trained can be used to handle …
a unified framework, which means that the model once being trained can be used to handle …
Controllable person image synthesis with attribute-decomposed gan
This paper introduces the Attribute-Decomposed GAN, a novel generative model for
controllable person image synthesis, which can produce realistic person images with …
controllable person image synthesis, which can produce realistic person images with …
Generative adversarial networks for image and video synthesis: Algorithms and applications
The generative adversarial network (GAN) framework has emerged as a powerful tool for
various image and video synthesis tasks, allowing the synthesis of visual content in an …
various image and video synthesis tasks, allowing the synthesis of visual content in an …