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Michael Black @UCqNJuPO0tyV6eWfYB7lcsvw@youtube.com

6.6K subscribers - no pronouns :c

We are the Perceiving Systems department at the MPI for Inte


17:23
Cyber Valley Days 2024: A look back. A look forward. A call to action.
04:20
VAREN: Very Accurate and Realistic Equine Network (CVPR 2024, HD)
04:20
VAREN: Very Accurate and Realistic Equine Network (CVPR 2024)
04:59
AMUSE: Emotional Speech-driven 3D Body Animation via Disentangled Latent Diffusion (CVPR 2024)
06:08
SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes
05:03
[CVPR'24 Highlight] HOLD: Category-agnostic 3D Reconstruction of Interacting Hands and Objects
06:04
BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion (CVPR 2023)
06:30
3D Human Pose Estimation via Intuitive Physics (CVPR 2023)
05:55
Reconstructing Signing Avatars From Video Using Linguistic Priors (CVPR 2023)
07:41
TRACE: 5D Temporal Regression of Avatars With Dynamic Cameras in 3D Environments (CVPR 2023)
05:49
TEMPEH: Instant Multi-View Head Capture through Learnable Registration (CVPR 2023)
04:54
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation
05:00
BARC: Learning to Regress 3D Dog Shape from Images by Exploiting Breed Information (CVPR 2022)
06:13
MOVER: Human-Aware Object Placement for Visual Environment Reconstruction (CVPR 2022)
35:38
Meta-commerce in the Age of Avatars
05:34
SHAPY: Accurate 3D Body Shape Regression using Semantic Attributes (CVPR 2022)
06:17
GOAL: Generating 4D Whole-Body Motion for Hand-Object Grasping (CVPR'22)
09:49
EMOCA: Emotion Driven Monocular Face Capture and Animation (CVPR 2022)
03:22
OSSO: Obtaining Skeletal Shape from Outside (CVPR 2022)
07:21
BEV: Monocular Regression of Multiple 3D People in Depth (CVPR 2022)
23:24
Perceiving Systems: 2016-2021
04:14
PIXIE: Collaborative Regression of Expressive Bodies using Moderation (3DV'21)
07:05
Virtuelle Tour durch die Capture Hall im Perzeptive Systeme (Deutsch)
07:06
Perceiving Systems' Capture Hall Virtual Tour (English)
05:00
ROMP: Monocular, One-stage, Regression of Multiple 3D People (ICCV 2021)
05:24
Learning to Regress Bodies using Differentiable Semantic Rendering (ICCV 2021)
05:01
PARE: Part Attention Regressor for 3D Human Body Estimation (ICCV 2021)
05:00
SPEC: Seeing People in the Wild with an Estimated Camera (ICCV 2021)
06:54
SOMA: Solving Optical Marker-Based MoCap Automatically (ICCV'2021)
14:16
DECA: Siggraph 2021 talk (full version)
07:07
SAMP: Scene-Aware Motion Prediction (ICCV 2021)
05:01
SCALE (CVPR'21 Talk Version)
27:12
Putting SMPL into Scenes
01:21:28
SMPL made Simple -- Introduction
41:56
SMPL: Frequently Asked Questions
34:24
Problems with SMPL and fixing them with STAR
34:50
Visual Imitation with SMPL
30:14
Clothing SMPL
18:58
SMPL in Human Health
18:39
SMPL at Meshcapade: Digital Humans made Easy
20:39
SMPLpix: Combining SMPL and Neural Rendering
16:07
VIBE: Video Inference for human Body pose and shape Estimation
05:14
Robots and SMPL: Combining ROS and Unreal using Julia
37:09
SMPL-X Application Integrations. Using SMPL-X in Blender, Unity and Unreal
18:18
SMPL in VR and AR
20:10
Datasets of and for SMPL and related models
19:49
SMPL from Images via Optimization
35:28
Regressing SMPL from Images
11:24
SMPL in Maya
05:01
TUCH: On Self-Contact and Human Pose (CVPR 2021)
05:12
AGORA human pose and shape dataset (CVPR 2021)
04:56
BABEL: Bodies, Action and Behavior with English Labels (CVPR 2021)
03:03
SMPL-X Blender Add-On -- Tutorial
04:44
SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks (CVPR 2021)
04:44
DECA: Learning an Animatable Detailed 3D Face Model from In-the-Wild Images (SIGGRAPH 2021)
04:04
POSA: Populating 3D Scenes by Learning Human-Scene Interaction (CVPR 2021)
04:55
SMPLpix: Neural Avatars from 3D Human Models
04:59
GIF: Generative Interpretable Faces
00:14
Banana phone: GRAB dataset outtakes, ECCV2020
01:31
GRAB: A Dataset of Whole-Body Human Grasping of Objects (short version)