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This paper introduces a novel approach to warp an RGB image to a new target pose, where it learns to inpaint the invisible parts of the image by sampling pixels from the visible parts. This technique is particularly relevant in applications such ...

• Novel strategy for inpainting images by sampling visible parts.
• Simple unsupervised method uses convolutions for warping map estimation.
• Unsupervised strategy learns complex deformations between source and target poses.
• Our ...

Pose Guided Person Image Generation (PGPIG) aims to transform persons in source images into given target poses. Most existing methods only distort texture information towards the target pose, ignoring the impact of pose information transformation, ...

Pose Transfer has recently gained significant attention, particularly for its user-friendly applications in the animation industry. The primary objective is to transform a given RGB image into a new target pose. This process involves two ...

Human pose transfer aims to synthesize referred human images with target pose, bringing the substantial economic potential for E-commerce or virtual reality. In this paper, we propose a novel method, the Attentional Pixel-wise Deformation Network ...

• A model with attention and deformation is proposed for human pose transfer.
• The novel attention-based operation can assist the final image synthesis.
• The model can generate accurate images while preserving the details.

Sign language is an effective way to communicate with people who have some degree of hearing impairment. However, mastery of such languages is limited to a relatively small number of people. In this context, the use of assistive technologies is an ...

Person pose transfer is a popular subject in computer vision tasks and is widely used in image editing, virtual try-on, and game designing. Most of the state-of-the-art models are based on flow fields and parsing maps, focusing on improving the ...

• A latent space is built to connect the sources and targets, and warp the features.
• Latent space-guided GAN is proposed for person pose transfer.
• Results show that proposed GAN can obtain higher evaluation scores than other models.

Video splicing based sign language synthesis focuses on splicing word$\backslash$sentence-level sign language videos to produce new sign language videos. However, directly splicing or combining video clips may result in video jumping problems. To this end, ...

• A novel end-to-end network architecture is proposed for pose transfer.
• The ...

Pose transfer refers to the probabilistic image generation of a person with a previously unseen novel pose from another image of that person having a different pose. Due to potential academic and commercial applications, pose transfer ...

Person image generation is a challenging task aimed to transfer the person of the source image from a source pose to a target pose while preserving its style. In this paper, we proposed a Generative Adversarial Network based on ...

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• Our model alleviates the loss of semantic features of complex alignment regions.

In computer vision, human pose synthesis and transfer deal with probabilistic image generation of a person in a previously unseen pose from an already available observation of that person. Though researchers have recently proposed several methods ...

Controllable person image synthesis task enables a wide range of applications through explicit control over body pose and appearance. In this paper, we propose a cross attention based style distribution module that computes between the source ...

Person re-identification (Re-ID) aims to match a person of interest across multiple non-overlapping camera views. This is a challenging task, partly because a person captured in surveillance video often undergoes intense pose variations. ...${}^{\mathrm{}}$

Pose transfer between two 2D cartoon characters provides a fast way to copy pose without complex deformation operations on the 2D shape. This paper proposes an effective method for transferring the pose of 2D human cartoon characters while ...

Human re-rendering from a single image is a starkly underconstrained problem, and state-of-the-art algorithms often exhibit undesired artefacts, such as over-smoothing, unrealistic distortions of the body parts and garments, or implausible changes ...

In computer animation, meshes corresponding to different objects may have to undergo similar deformations. Deformation transfer tries to mimic the deformation between given source mesh examples, onto given target meshes. In this paper, we propose a ...

Naively transferring low-frequency coefficients fails to correctly capture the reference pose and source details: (a) and (b) are respectively reference and source meshes; (c) result by copying coefficients with bases optimization (Kovnatsky et al., ...

Imitation is considered to be a kind of social learning that allows the transfer of information, actions, behaviors, etc. Whereas current robots are unable to perform as many tasks as human, it is a natural way for them to learn by imitations, just as ...