github.com/JoyHuYY1412/PersonaHOI 2024 2 Paper D2 D6 H. Wang, M. Mendiratta, C. Theobalt, and A. Kortylewski “FaceGPT: Self-supervised Learning to Chat about 3D Human Faces,” 2024. [Online]. Available: ht [...] overcomes this limitation by embedding the parameters of a 3D morphable face model (3DMM) into the token space of a VLM, enabling the generation of 3D faces from both textual and visual inputs. FaceGPT is trained [...] is projected into 3DMM parameters and subsequently rendered as 2D face image to guide the self-supervised learning process via image-based reconstruction. Without relying on expensive 3D annotations of human
France, 2023. 6 Thesis D2 D6 B. L. Bhatnagar “Modelling 3D Humans : Pose, Shape, Clothing and Interactions,” Universität des Saarlandes, Saarbrücken, 2023. 2022 7 Conference paper D2 X. Xie, B. L. Bhatnagar [...] paper D2 K. Zhou, B. L. Bhatnagar, and G. Pons-Moll “Unsupervised Shape and Pose Disentanglement for 3D Meshes,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020. 2019 17 Conference paper D2 D4 T. Alldieck [...] Controllable Personalized GAN-based Human Head Avatar,” in 3DV 2024, 11th International Conference on 3D Vision, Davos, Switzerland, 2024. 2 Conference paper D2 X. Xie, B. L. Bhatnagar, J. E. Lenssen, and G. Pons-Moll
in recovering 3D body poses from monocular data. Several key components contribute to the success of the approach. The first is a novel and generic procedure for people detection and 2D pose estimation [...] enables people tracking and monocular 3D pose estimation [2,3]. In contrast to prior work we accumulate evidence in multiple stages thereby reducing the ambiguity of 3D pose estimation effectively in every [...] adjacent frames of the sequence. In contrast to these approaches, our 3D pose likelihood is formulated in terms of estimates of the 2D body configurations and viewpoints obtained with a strong discriminative
Generative Models of 3D People Generative Models of 3D People (Images and 3D Meshes) (Left, top to bottom) Image-based generative model of people in clothing (ClothNet) [1]; estimating 3D human body shape [...] clothing deviates from the body by capturing 3D and 4D scans of clothed people. ClothCap [3] is a pipeline that captures dynamic clothing on humans from 4D scans, segments the clothing from the body, segments [...] To dress people in 3D, the minimally-clothed body shape is needed. To estimate this from clothed bodies, our BUFF method [2] estimates body shape under clothing from a sequence of 3D scans. In a scan sequence
eng %U http://hdl.handle.net/21.11116/0000-000A-ACF3-2 %U https://arxiv.org/abs/2205.07982 %D 2022 %X We present TOCH, a method for refining incorrect 3D hand-object interaction<br>sequences using a data [...] PuRe BibTeX pre-print version 2021 3 Paper D2 K. Zhou, B. L. Bhatnagar, B. Schiele, and G. Pons-Moll “Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes,” 2021. [Online]. Available: [...] Task-conditioned Alignment of 3D Shapes : %G eng %U http://hdl.handle.net/21.11116/0000-0009-80FA-C %U https://arxiv.org/abs/2102.01161 %D 2021 %X Most learning methods for 3D data (point clouds, meshes)
Vision and Machine Learning Research 3D Reconstruction and Perception of People Clothing: Estimating 3D Humans in Clothing from Images and Videos. Clothing: Estimating 3D Humans in Clothing from Images and [...] Monocular Video T. Alldieck, M. A. Magnor, W. Xu, C. Theobalt and G. Pons-Moll 3DV 2018 , International Conference on 3D Vision, 2018 [3] Fashion is Taking Shape: Understanding Clothing Preference Based on Body [...] consensus 3D shape, texture and implanted animation skeleton based on a large number of frames. Results on 4 different datasets demonstrate the effectiveness of our approach to produce accurate 3D models
Hannover in 3D – Forscher visualisieren gigantische Datenmengen in Echtzeit CeBIT 2009: Hannover in 3D – Forscher visualisieren gigantische Datenmengen in Echtzeit CeBIT 2009: Hannover in 3D – Forscher [...] oder automatisiert symmetrische Elemente finden und verändern. Vom 3. bis 8. März können Besucher der CeBIT 2009 diese Software an einem 3D Modell von Hannover selbst ausprobieren (Forschungsstand des Saarlandes [...] Zeichenbrett. Vor allem bei Renovierungen erfassen sie zunächst die bestehende Bausubstanz mit einem 3D Scanner und verändern diese dann am Computer. Was bei der Planung kleiner Objekte noch problemlos
27~29: 3D gaze target position related to camera Dimension 30~35: The estimated 3D head pose based on 6 points-based 3D face model, rotation and translation: we implement the same 6 points-based 3D face [...] How do you convert 3d directional vector to 2d angle? We refer to the paper [3] for the data normalization. Briefly to say, the 3D gaze direction (x, y, z) can be converted to 2D representation (theta [...] model in [3], which includes the four eye corners and two mouth corners Dimension 36~38: The estimated 3D right eye center in the camera coordiante system. Dimension 39~41: The estimated 3D left eye center
has been a tremendous development of new, three-dimensional (3D) printing technologies. While 3D printers are still not as popular as regular 2D printers, this may change very soon due the great possibilities [...] their mechanical properties [ figure 2 ]. Figure 1: 3D printed model of a building with prescribed texture and subsurface scattering properties. Figure 2: 3D printed model of a book with prescribed deformation [...] offer. Instead of using traditional manufacturing techniques, such as cutting or injection molding, 3D printers can create complex three-dimensional objects by disposing small portions of printing material
Scene Reconstruction using Cascaded 2D Diffusion Priors,” in ECCV 2024 Workshop on Wild 3D (ECCV 2024 Wild3D), Milan, Italy, 2024. more BibTeX @inproceedings{Paul_Wild3D, TITLE = {Sp2360: {S}parse-view 3 [...] Generalizable {3D} Reconstruction}, AUTHOR = {Wewer, Christopher and Raj, Kevin and Ilg, Eddy and Schiele, Bernt and Lenssen, Jan Eric}, LANGUAGE = {eng}, ISBN = {978-3-031-73020-7}, DOI = {10.1007/978-3-031-7 [...] Variational Gaussians for Fast Generalizable 3D Reconstruction : %G eng %U http://hdl.handle.net/21.11116/0000-000F-D86F-2 %R 10.1007/978-3-031-73021-4_27 %D 2024 %B 18th European Conference on Computer
