Matthias Nießner

25

Papers

229

Total Citations

Papers (25)

FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models

LightIt: Illumination Modeling and Control for Diffusion Models

SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors

MonoNPHM: Dynamic Head Reconstruction from Monocular Videos

Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking

GAF: Gaussian Avatar Reconstruction from Monocular Videos via Multi-view Diffusion

QuickSplat: Fast 3D Surface Reconstruction via Learned Gaussian Initialization

LiteReality: Graphic-Ready 3D Scene Reconstruction from RGB-D Scans

Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation

SHeaP: Self-supervised Head Geometry Predictor Learned via 2D Gaussians

DPHMs: Diffusion Parametric Head Models for Depth-based Tracking

ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models

Intrinsic Image Diffusion for Indoor Single-view Material Estimation

MultiDiff: Consistent Novel View Synthesis from a Single Image

LT3SD: Latent Trees for 3D Scene Diffusion

DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars

PrEditor3D: Fast and Precise 3D Shape Editing

Zero-shot Inexact CAD Model Alignment from a Single Image

Avat3r: Large Animatable Gaussian Reconstruction Model for High-fidelity 3D Head Avatars

GaussianSpeech: Audio-Driven Personalized 3D Gaussian Avatars

MeshPad: Interactive Sketch-Conditioned Artist-Reminiscent Mesh Generation and Editing

3DGS-LM: Faster Gaussian-Splatting Optimization with Levenberg-Marquardt

GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians

MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers

DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis