Song et al., 2024 - Google Patents
Human Pose Transfer with Depth InformationSong et al., 2024
- Document ID
- 15488064261141408107
- Author
- Song Y
- Pan P
- Pan P
- Publication year
- Publication venue
- 2024 5th International Conference on Machine Learning and Computer Application (ICMLCA)
External Links
Snippet
Human pose transfer refers to synthesizing an image of a target person with the pose of a source person. Many current methods have achieved good results. However, the images generated on a two-dimensional plane will cause confusion in the positions of different body …
- 238000012546 transfer 0 title abstract description 18
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T13/00—Animation
- G06T13/20—3D [Three Dimensional] animation
- G06T13/40—3D [Three Dimensional] animation of characters, e.g. humans, animals or virtual beings
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/001—Texturing; Colouring; Generation of texture or colour
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/04—Texture mapping
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/10—Geometric effects
- G06T15/20—Perspective computation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Zheng et al. | Avatarrex: Real-time expressive full-body avatars | |
Park et al. | Semantic image synthesis with spatially-adaptive normalization | |
Han et al. | Viton: An image-based virtual try-on network | |
Zhu et al. | Champ: Controllable and consistent human image animation with 3d parametric guidance | |
US20210358197A1 (en) | Textured neural avatars | |
Minar et al. | Cloth-vton: Clothing three-dimensional reconstruction for hybrid image-based virtual try-on | |
Zakharkin et al. | Point-based modeling of human clothing | |
Habermann et al. | Hdhumans: A hybrid approach for high-fidelity digital humans | |
Wang et al. | Down to the last detail: Virtual try-on with fine-grained details | |
Huang et al. | Few-shot human motion transfer by personalized geometry and texture modeling | |
Peng et al. | Animatable implicit neural representations for creating realistic avatars from videos | |
Yang et al. | OccluMix: Towards de-occlusion virtual try-on by semantically-guided mixup | |
Hu et al. | Humanliff: Layer-wise 3d human generation with diffusion model | |
Zhang et al. | Controllable person image synthesis with spatially-adaptive warped normalization | |
Liu et al. | Human motionformer: Transferring human motions with vision transformers | |
Yang et al. | Poxture: Human posture imitation using neural texture | |
Liu et al. | Translate the facial regions you like using self-adaptive region translation | |
Xia et al. | 3D information guided motion transfer via sequential image based human model refinement and face-attention GAN | |
Zhang et al. | Mannequin2Real: A Two-Stage Generation Framework for Transforming Mannequin Images into Photorealistic Model Images for Clothing Display | |
Islam et al. | StyleVTON: A multi-pose virtual try-on with identity and clothing detail preservation | |
Song et al. | Human Pose Transfer with Depth Information | |
CN116777738A (en) | Authenticity virtual fitting method based on clothing region alignment and style retention modulation | |
Yuan et al. | Munerf: robust makeup transfer in neural radiance fields | |
CN116168186A (en) | Virtual fitting chart generation method with controllable garment length | |
Zhang et al. | BooW-VTON: Boosting In-the-Wild Virtual Try-On via Mask-Free Pseudo Data Training |