Michael Niemeyer
16 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (18) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
π§¬
Topic Evolution
π€
Dynamic Duo
(12)
π¬
Deep Specialist
(10)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(77)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Deep Learning
(15)
Computer Vision
(12)
Models
(12)
Analysis
(10)
Architectures
(8)
Generation
(8)
Machine Learning
(5)
Artificial Intelligence
(3)
Core AI Β· Artificial Intelligence
(3)
Core Methods
(3)
Computer Science
(1)
Application Areas
(1)
Applications
(1)
Core AI Β· Computer Vision
(1)
Learning Types
(1)
Keywords
3d reconstruction
(7)
neural radiance field
(6)
novel view synthesis
(5)
neural rendering
(3)
surface reconstruction
(3)
implicit representation
(3)
3d-aware image synthesis
(2)
multi-view reconstruction
(2)
generative model
(2)
view synthesis
(2)
scene representation
(2)
differentiable rendering
(2)
neural network
(2)
gaussian splatting
(1)
scene reconstruction
(1)
video generation
(1)
monocular depth estimation
(1)
image synthesis
(1)
temporal dynamics
(1)
zero-shot learning
(1)
Papers
3D-LATTE: Latent Space 3D Editing from Textual Instructions
CVPR 2026
OracleGS: Grounding Generative Priors for Sparse-View Gaussian Splatting
WACV 2026
OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views
ICLR 2024
UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections
NeurIPS 2024
DreamBooth3D: Subject-Driven Text-to-3D Generation
ICCV 2023
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
NeurIPS 2022
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis From Sparse Inputs
CVPR 2022
VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids
NeurIPS 2022
GIRAFFE: Representing Scenes As Compositional Generative Neural Feature Fields
CVPR 2021
Shape As Points: A Differentiable Poisson Solver
NeurIPS 2021
Convolutional Occupancy Networks
ECCV 2020
Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision
CVPR 2020
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
NeurIPS 2020
Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics
ICCV 2019
Occupancy Networks: Learning 3D Reconstruction in Function Space
CVPR 2019
Texture Fields: Learning Texture Representations in Function Space
ICCV 2019