Papers Pose-Guided Image Generation
“Pose-Guided Image Generation” 태그가 달린 논문 9편 · 필터 해제
Rethink Sparse Signals for Pose-guided Text-to-image Generation
Recent works favored dense signals (e.g., depth, DensePose), as an alternative to sparse signals (e.g., OpenPose), to provide detailed spatial guidance for pose-guided text-to-image generation. However, dense representat…
Image GenerationPose-Guided Image GenerationText to Image GenerationText-to-Image GenerationEBDM: Exemplar-guided Image Translation with Brownian-bridge Diffusion Models
Exemplar-guided image translation, synthesizing photo-realistic images that conform to both structural control and style exemplars, is attracting attention due to its ability to enhance user control over style manipulati…
Conditional Image GenerationImage GenerationImage-to-Image TranslationPose-Guided Image Generation+2Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis
Diffusion model is a promising approach to image generation and has been employed for Pose-Guided Person Image Synthesis (PGPIS) with competitive performance. While existing methods simply align the person appearance to …
DecoderImage GenerationPose-Guided Image GenerationRePoseDM: 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 TransfervalidPose Guided Image Generation from Misaligned Sources via Residual Flow Based Correction
Generating new images with desired properties (e.g. new view/poses) from source images has been enthusiastically pursued recently, due to its wide range of potential applications. One way to ensure high-quality generatio…
Image GenerationPose-Guided Image GenerationPerson image generation with semantic attention network for person re-identification
Pose variation is one of the key factors which prevents the network from learning a robust person re-identification (Re-ID) model. To address this issue, we propose a novel person pose-guided image generation method, whi…
Image GenerationPerson Re-IdentificationPose-Guided Image GenerationSemantic ParsingReposing Humans by Warping 3D Features
We address the problem of reposing an image of a human into any desired novel pose. This conditional image-generation task requires reasoning about the 3D structure of the human, including self-occluded body parts. Most …
Conditional Image GenerationDecoderImage Generationperson reposing+1Pose Guided Fashion Image Synthesis Using Deep Generative Model
Generating a photorealistic image with intended human pose is a promising yet challenging research topic for many applications such as smart photo editing, movie making, virtual try-on, and fashion display. In this paper…
DecoderImage GenerationPose-Guided Image GenerationVirtual Try-onCoordinate-based Texture Inpainting for Pose-Guided Image Generation
We present a new deep learning approach to pose-guided resynthesis of human photographs. At the heart of the new approach is the estimation of the complete body surface texture based on a single photograph. Since the inp…
Image GenerationPose-Guided Image GenerationResynthesis