Pose Transfer
41 papers with code • 6 benchmarks • 5 datasets
Latest papers with no code
Towards Robust 3D Pose Transfer with Adversarial Learning
This work is driven by the intuition that the robustness of the model can be enhanced by introducing adversarial samples into the training, leading to a more invulnerable model to the noisy inputs, which even can be further extended to directly handling the real-world data like raw point clouds/scans without intermediate processing.
CCPA: Long-term Person Re-Identification via Contrastive Clothing and Pose Augmentation
Long-term Person Re-Identification (LRe-ID) aims at matching an individual across cameras after a long period of time, presenting variations in clothing, pose, and viewpoint.
A Novel Garment Transfer Method Supervised by Distilled Knowledge of Virtual Try-on Model
This paper proposes a novel garment transfer method supervised with knowledge distillation from virtual try-on.
RePoseDM: Recurrent Pose Alignment and Gradient Guidance for Pose Guided Image Synthesis
Inspired by the ability of the diffusion model to generate photorealistic images from the given conditional guidance, we propose recurrent pose alignment to provide pose-aligned texture features as conditional guidance.
Geometrically Consistent Partial Shape Matching
Moreover, while in practice one often has only access to partial observations of a 3D shape (e. g. due to occlusion, or scanning artifacts), there do not exist any methods that directly address geometrically consistent partial shape matching.
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
While language-guided image manipulation has made remarkable progress, the challenge of how to instruct the manipulation process faithfully reflecting human intentions persists.
DSFFNet: Dual-Side Feature Fusion Network for 3D Pose Transfer
To solve the problem of pose distortion in the forward propagation of pose features in existing methods, this pa-per proposes a Dual-Side Feature Fusion Network for pose transfer (DSFFNet).
Open-World Pose Transfer via Sequential Test-Time Adaption
In open-world conditions, the pose transfer task raises various independent signals: OOD appearance and skeleton, which need to be extracted and distributed in speciality.
A Review on Generative Adversarial Networks for Data Augmentation in Person Re-Identification Systems
Interest in automatic people re-identification systems has significantly grown in recent years, mainly for developing surveillance and smart shops software.
WaveIPT: Joint Attention and Flow Alignment in the Wavelet domain for Pose Transfer
To leverage the advantages of both attention and flow simultaneously, we propose Wavelet-aware Image-based Pose Transfer (WaveIPT) to fuse the attention and flow in the wavelet domain.