Matthias Nießner
Professor
Researches 3D digitization at the intersection of graphics, vision and AI, including 3D reconstruction from RGB-D video and photorealistic digital humans.
Matthias Nießner's lab at TUM works on 3D vision & neural rendering, video understanding and generative 3D & visual content. 77 papers since 2023, 72 at top venues, mostly CVPR and ICCV. 18 PhD students.
At a glance
- papers, 2023–2026
- 20/ year
- at T1 venues
- 94%
- PhD students
- 18
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 18 papers2026 · T1 18 · collecting
- 19 papers2025 · T1 18
- 19 papers2024 · T1 19
- 21 papers2023 · T1 17
T1 venuesOtherVenues: CVPR, ICCV, ECCV, NeurIPS, SIGGRAPH Asia
Research focuspaper titles that use each topic's words
- 3D vision & neural rendering14 papers
- Generative 3D & visual content14 papers
- Video understanding3 papers
- photorealistic1 paper
- digital humans0 papers
Paper list
From the lab homepage.
202618 papers
- ICLR (T1)Animating the Uncaptured: Humanoid Mesh Animation with Video Diffusion Models (opens in a new tab)
- NeurIPS (T1)Diff3R: Feed-forward 3D Gaussian Splatting with Uncertainty-aware Differentiable Optimization (opens in a new tab)
- ECCV (T1)DreamEdit3D: Personalization of Multi-View Diffusion Models for 3D Editing (opens in a new tab)
- ECCV (T1)Face Anything: 4D Face Reconstruction from Any Image Sequence (opens in a new tab)
- CVPR (T1)FlexAvatar: Learning Complete 3D Head Avatars with Partial Supervision (opens in a new tab)
- ECCV (T1)GaussianGPT: Towards Autoregressive 3D Gaussian Scene Generation (opens in a new tab)
- NeurIPS (T1)GenRecon: Bridging Generative Priors for Multi-View 3D Scene Reconstruction (opens in a new tab)
- ECCV (T1)Head Avatars with Dynamic Explicit Hair (opens in a new tab)
- CVPR (T1)Intrinsic Image Fusion for Multi-View 3D Material Reconstruction (opens in a new tab)
- CVPR (T1)MeshRipple: Structured Autoregressive Generation of Artist-Meshes (opens in a new tab)
- NeurIPS (T1)OneCanvas: 3D Scene Understanding via Panoramic Reprojection (opens in a new tab)
- CVPR (T1)PercHead: Perceptual Head Model for Single-Image 3D Head Reconstruction & Editing (opens in a new tab)
202519 papers
- ICCV (T1)3DGS-LM: Faster Gaussian-Splatting Optimization with Levenberg-Marquardt (opens in a new tab)
- ICCV (T1)Avat3r: Large Animatable Gaussian Reconstruction Model for High-fidelity 3D Head Avatars (opens in a new tab)
- NeurIPS (T1)BecomingLit: Relightable Gaussian Avatars with Hybrid Neural Shading (opens in a new tab)
- CVPR (T1)GAF: Gaussian Avatar Reconstruction from Monocular Videos via Multi-view Diffusion (opens in a new tab)
- ICCV (T1)GaussianSpeech: Audio-Driven Gaussian Avatars (opens in a new tab)
- 3DVHeadCraft: Modeling High-Detail Shape Variations for Animated 3DMMs (opens in a new tab)
- NeurIPS (T1)IntrinsiX: High-Quality PBR Generation using Image Priors (opens in a new tab)
- NeurIPS (T1)LinPrim: Linear Primitives for Differentiable Volumetric Rendering (opens in a new tab)
- NeurIPS (T1)LiteReality: Graphics-Ready 3D Scene Reconstruction from RGB-D Scans (opens in a new tab)
- CVPR (T1)LT3SD: Latent Trees for 3D Scene Diffusion (opens in a new tab)
- ICCV (T1)MeshPad: Interactive Sketch-Conditioned Artist-Designed Mesh Generation and Editing (opens in a new tab)
- NeurIPS (T1)PBR-SR: Mesh PBR Texture Super Resolution from 2D Image Priors (opens in a new tab)
202419 papers
- NeurIPS (T1)Coherent 3D Scene Diffusion From a Single RGB Image (opens in a new tab)
- CVPR (T1)DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis (opens in a new tab)
- CVPR (T1)DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars (opens in a new tab)
- CVPR (T1)DPHMs: Diffusion Parametric Head Models for Depth-based Tracking (opens in a new tab)
- CVPR (T1)FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models (opens in a new tab)
- ECCV (T1)Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation (opens in a new tab)
- CVPR (T1)GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians (opens in a new tab)
- SIGGRAPH Asia (T1)GGHead: Fast and Generalizable 3D Gaussian Heads (opens in a new tab)
- CVPR (T1)Intrinsic Image Diffusion for Single-view Material Estimation (opens in a new tab)
- SIGGRAPH Asia (T1)L3DG: Latent 3D Gaussian Diffusion (opens in a new tab)
- CVPR (T1)LightIt: Illumination Modeling and Control for Diffusion Models (opens in a new tab)
- ECCV (T1)Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation (opens in a new tab)
202321 papers
- SIGGRAPH'233DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models (opens in a new tab)
- ICCV (T1)CAD-Estate: Large-scale CAD Model Annotation in RGB Videos (opens in a new tab)
- SIGGRAPH'23ClipFace: Text-guided Editing of Textured 3D Morphable Models (opens in a new tab)
- AAAI (T1)COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning (opens in a new tab)
- CVPR (T1)DiffRF: Rendering-guided 3D Radiance Field Diffusion (opens in a new tab)
- ICCV (T1)End2End Multi-View Feature Matching with Differentiable Pose Optimization (opens in a new tab)
- SIGGRAPH Asia (T1)GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields (opens in a new tab)
- CVPR (T1)High-Res Facial Appearance Capture from Polarized Smartphone Images (opens in a new tab)
- ICCV (T1)How to Boost Face Recognition with StyleGAN? (opens in a new tab)
- SIGGRAPH'23HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion (opens in a new tab)
- ICCV (T1)HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion (opens in a new tab)
- CVPR (T1)Learning 3D Scene Priors with 2D Supervision (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to TUMRolling
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Computer Science Doctorate (CIT)
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- GRE
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- English
- Very good written and spoken English; no minimum test score
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Confirmed on the program page.
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