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Matthias Niessner @UCXN2nYjVT0cR9G61RPEzK5Q@youtube.com

14K subscribers - no pronouns :c

Welcome to our YouTube channel -- I'm excited to share our n


01:35
L3DG: Latent 3D Gaussian Diffusion (SIGGRAPH Asia'24)
05:00
GGHead: Fast and Generalizable 3D Gaussian Heads (SIGGRAPH Asia'24)
02:26
3DGS-LM: Faster Gaussian-Splatting Optimization with Levenberg-Marquardt
04:00
NPGA: Neural Parametric Gaussian Avatars (SIGGRAPH Asia'24)
03:01
Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation (ECCV'24)
05:02
CVPR 2024 Paper Compilation - TUM Visual Computing Lab & Collaborators
04:16
LightIt: Illumination Modeling and Control for Diffusion Models (CVPR'24)
03:07
ViewDiff: 3D-Consistent Image Generation with Text-To-Image Models
03:25
Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking
03:02
Intrinsic Image Diffusion for Single-view Material Estimation
02:11
PolyDiff: Generating 3D Polygonal Meshes with Diffusion Models
06:05
FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models
03:48
MonoNPHM: Dynamic Head Reconstruction from Monocular Videos
03:32
DPHMs: Diffusion Parametric Head Models for Depth-based Tracking
02:40
GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians
03:04
DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars
02:56
SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors
03:48
MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers
04:55
TriPlaneNet: An Encoder for EG3D Inversion (WACV'24)
12:16
ICCV 2023 Paper Compilation - TUM Visual Computing Lab & Collaborators
03:02
GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields (SIGGRAPH Asia'2023)
02:57
End2End Multi-View Feature Matching with Differentiable Pose Optimization (ICCV'2023)
04:30
How to Boost Face Recognition with StyleGAN? (ICCV'2023)
16:30
SIGGRAPH 2023 Paper Compilation - TUM Visual Computing Lab & Collaborators
03:19
HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion (ICCV'2023)
04:31
Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models (ICCV'2023)
02:26
Text2Tex: Text-driven Texture Synthesis via Diffusion Models (ICCV'2023)
01:32:38
Introduction to Deep Learning (I2DL 2023) - 5. Scaling Optimization
01:56:32
Introduction to Deep Learning (I2DL 2023) - 12. Advanced DL Topics
01:09:41
Introduction to Deep Learning (I2DL 2023) - 11. RNNs and Transformers
01:33:34
Introduction to Deep Learning (I2DL 2023) - 10. Architectures
01:07:56
Introduction to Deep Learning (I2DL 2023) - 9. Convolutional Neural Networks
01:04:48
Introduction to Deep Learning (I2DL 2023) - 8. Augmentation and Regularization
01:25:52
Introduction to Deep Learning (I2DL 2023) - 7. Losses and Activations
01:07:55
Introduction to Deep Learning (I2DL 2023) - 6. Training Neural Networks
01:22:58
Introduction to Deep Learning (I2DL 2023) - 4. Optimization and Backprop
01:16:47
Introduction to Deep Learning (I2DL 2023) - 3. Intro Neural Networks
01:43:43
Introduction to Deep Learning (I2DL 2023) - 2. ML Basics
01:34:12
Introduction to Deep Learning (I2DL 2023) - 1. Introduction
07:42
CVPR 2023 Paper Compilation - TUM Visual Computing Lab & Collaborators
04:44
ClipFace: Text-guided Editing of Textured 3D Morphable Models (SIGGRAPH'23)
04:48
NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads (SIGGRAPH'23)
03:43
Learning Neural Parametric Head Models (CVPR'2023)
03:32
ObjectMatch: Robust Registration using Canonical Object Correspondences (CVPR'2023)
04:47
Panoptic Lifting for 3D Scene Understanding with Neural Fields (CVPR'2023)
02:34
DiffRF: Rendering-guided 3D Radiance Field Diffusion (CVPR'2023)
03:19
Learning 3D Scene Priors with 2D Supervision (CVPR'2023)
02:49
High-Res Facial Appearance Capture from Polarized Smartphone Images (CVPR'2023)
04:40
RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering (ECCV'22)
03:59
TAFIM: Targeted Adversarial Attacks against Face Image Manipulations (ECCV'22)
01:11:01
3D Scanning & Motion Capture: 10. Bodies and Hands
01:12:28
3D Scanning & Motion Capture: 9. Face Tracking & Reconstruction
01:06:50
3D Scanning & Motion Capture: 8. Parametric Face Models
58:12
3D Scanning & Motion Capture: 7. Non-Rigid Tracking & Reconstruction
01:28:28
3D Scanning & Motion Capture: 6. Non-Rigid Deformation
01:35:04
3D Scanning & Motion Capture: 5. Rigid Reconstruction
01:42:55
3D Scanning & Motion Capture: 4. Optimization
01:24:13
3D Scanning & Motion Capture: 2. Surface Representations
01:31:18
3D Scanning & Motion Capture: 3. Reconstruction Overview
02:00:02
3D Scanning & Motion Capture: 1. 3DConcepts