Papers Pose Transfer
“Pose Transfer” 태그가 달린 논문 97편 · 필터 해제
One-Shot Novel View and Pose Human Image Synthesis via 3D Prior Guided Diffusion Model
This paper addresses the challenge of one-shot novel view and pose human image synthesis. The existing methods transfer the reference human image to a target pose using a set of 2D pose keypoints or synthesize human imag…
Pose TransferSupervision-by-Hallucination-and-Transfer: A Weakly-Supervised Approach for Robust and Precise Facial Landmark Detection
High-precision facial landmark detection (FLD) relies on high-resolution deep feature representations. However, low-resolution face images or the compression (via pooling or strided convolution) of originally high-resolu…
Facial Landmark DetectionFace HallucinationPose TransferOne-to-All Animation: Alignment-Free Character Animation and Image Pose Transfer
Recent advances in diffusion models have greatly improved pose-driven character animation. However, existing methods are limited to spatially aligned reference-pose pairs with matched skeletal structures. Handling refere…
Video GenerationPose TransferMimiCAT: Mimic with Correspondence-Aware Cascade-Transformer for Category-Free 3D Pose Transfer
3D pose transfer aims to transfer the pose-style of a source mesh to a target character while preserving both the target's geometry and the source's pose characteristic. Existing methods are largely restricted to charact…
Pose TransferPhysRig: Differentiable Physics-Based Skinning and Rigging Framework for Realistic Articulated Object Modeling
Skinning and rigging are fundamental components in animation, articulated object reconstruction, motion transfer, and 4D generation. Existing approaches predominantly rely on Linear Blend Skinning (LBS), due to its simpl…
ObjectObject ReconstructionPose TransferDisentangled Human Body Representation Based on Unsupervised Semantic-Aware Learning
In recent years, more and more attention has been paid to the learning of 3D human representation. However, the complexity of lots of hand-defined human body constraints and the absence of supervision data limit that the…
DisentanglementPose Transfer"I Know It When I See It": Mood Spaces for Connecting and Expressing Visual Concepts
Expressing complex concepts is easy when they can be labeled or quantified, but many ideas are hard to define yet instantly recognizable. We propose a Mood Board, where users convey abstract concepts with examples that h…
AttributePose TransferHumanDiT: Pose-Guided Diffusion Transformer for Long-form Human Motion Video Generation
Human motion video generation has advanced significantly, while existing methods still struggle with accurately rendering detailed body parts like hands and faces, especially in long sequences and intricate motions. Curr…
FormPose TransferVideo GenerationTruePose: Human-Parsing-guided Attention Diffusion for Full-ID Preserving Pose Transfer
Pose-Guided Person Image Synthesis (PGPIS) generates images that maintain a subject's identity from a source image while adopting a specified target pose (e.g., skeleton). While diffusion-based PGPIS methods effectively …
DenoisingHuman ParsingImage GenerationPose TransferCan Pose Transfer Models Generate Realistic Human Motion?
Recent pose-transfer methods aim to generate temporally consistent and fully controllable videos of human action where the motion from a reference video is reenacted by a new identity. We evaluate three state-of-the-art …
Pose TransferDRDM: A Disentangled Representations Diffusion Model for Synthesizing Realistic Person Images
Person image synthesis with controllable body poses and appearances is an essential task owing to the practical needs in the context of virtual try-on, image editing and video production. However, existing methods face s…
Image GenerationPose TransferVirtual Try-onLearning Flow Fields in Attention for Controllable Person Image Generation
Controllable person image generation aims to generate a person image conditioned on reference images, allowing precise control over the person's appearance or pose. However, prior methods often distort fine-grained textu…
AttributeImage GenerationPose TransferVirtual Try-onTryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models
This paper introduces Virtual Try-Off (VTOFF), a novel task focused on generating standardized garment images from single photos of clothed individuals. Unlike traditional Virtual Try-On (VTON), which digitally dresses m…
Garment ReconstructionImage GenerationPose TransferVirtual Try-Off+1Beyond Imperfections: A Conditional Inpainting Approach for End-to-End Artifact Removal in VTON and Pose Transfer
Artifacts often degrade the visual quality of virtual try-on (VTON) and pose transfer applications, impacting user experience. This study introduces a novel conditional inpainting technique designed to detect and remove …
Pose TransferVirtual Try-onOne-Shot Learning for Pose-Guided Person Image Synthesis in the Wild
Current Pose-Guided Person Image Synthesis (PGPIS) methods depend heavily on large amounts of labeled triplet data to train the generator in a supervised manner. However, they often falter when applied to in-the-wild sam…
GPUImage GenerationOne-Shot LearningPose Transfer+1Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses
We propose a novel method for learning representations of poses for 3D deformable objects, which specializes in 1) disentangling pose information from the object's identity, 2) facilitating the learning of pose variation…
DisentanglementObjectPose TransferRepresentation LearningTowards Robust 3D Pose Transfer with Adversarial Learning
3D pose transfer that aims to transfer the desired pose to a target mesh is one of the most challenging 3D generation tasks. Previous attempts rely on well-defined parametric human models or skeletal joints as driving po…
3D GenerationPose TransferCCPA: 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. In this work, we propose CCPA: Contrastive Cl…
Graph AttentionPerson Re-IdentificationPose TransferA 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. Our method first reasons the transfer parsing to provide shape prior to downstream tasks. We employ a multi-…
DisentanglementKnowledge DistillationPose TransferSelf-Supervised Learning+1RePoseDM: Recurrent Pose Alignment and Gradient Guidance for Pose Guided Image Synthesis
Pose-guided person image synthesis task requires re-rendering a reference image, which should have a photorealistic appearance and flawless pose transfer. Since person images are highly structured, existing approaches re…
Image GenerationPose-Guided Image GenerationPose Transfervalid