State of the art on neural rendering
Efficient rendering of photo‐realistic virtual worlds is a long standing effort of computer
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …
Generative adversarial networks (GANs) challenges, solutions, and future directions
Generative Adversarial Networks (GANs) is a novel class of deep generative models that
has recently gained significant attention. GANs learn complex and high-dimensional …
has recently gained significant attention. GANs learn complex and high-dimensional …
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 …
Liquid war** 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 …