14.06.2024
![Teaser image to MCML at CVPR 2024](/images/conferences/cvpr24.webp)
MCML at CVPR 2024
The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 (CVPR 2024). Seattle, Washington, United States, June 17-21, 2024
We are happy to announce that MCML researchers are represented with 37 papers at CVPR 2024:
FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models.
arXiv.
Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching.
arXiv.
Sparse Views, Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo.
arXiv.
PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness.
arXiv.
Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation.
arXiv.
Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking.
arXiv.
SecondPose: SE(3)-Consistent Dual-Stream Feature Fusion for Category-Level Pose Estimation.
arXiv.
SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors.
arXiv.
FutureHuman3D: Forecasting Complex Long-Term 3D Human Behavior from Video Observations.
arXiv.
Partial-to-Partial Shape Matching with Geometric Consistency.
arXiv.
H-ViT: A Hierarchical Vision Transformer for Deformable Image Registration.
PDF.
MonoNPHM: Dynamic Head Reconstruction from Monocular Videos.
arXiv.
Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation.
arXiv.
ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models.
arXiv.
MatchU: Matching Unseen Objects for 6D Pose Estimation from RGB-D Images.
arXiv.
HouseCat6D -- A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios.
arXiv.
DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars.
arXiv.
LightIt: Illumination Modeling and Control for Diffusion Models.
arXiv.
Intrinsic Image Diffusion for Indoor Single-view Material Estimation.
arXiv.
MultiDiff: Consistent Novel View Synthesis from a Single Image.
URL.
Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis.
arXiv.
GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians.
arXiv.
Deep Video Codec Control for Vision Models.
arXiv.
A Perspective on Deep Vision Performance with Standard Image and Video Codecs.
arXiv.
UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes.
arXiv.
MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers.
arXiv.
DPHMs: Diffusion Parametric Head Models for Depth-based Tracking.
arXiv.
DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis.
arXiv.
SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation.
arXiv.
Finsler-Laplace-Beltrami Operators with Application to Shape Analysis.
arXiv.
Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincaré Ball.
arXiv.
Cache Me if You Can: Accelerating Diffusion Models through Block Caching.
arXiv.
Dynamic LiDAR Re-simulation using Compositional Neural Fields.
arXiv.
14.06.2024
Related
![Link to MCML at NAACL 2024](/images/conferences/eacl.png)
14.06.2024
MCML at NAACL 2024
We are happy to announce that MCML researchers are represented at the 2024 Annual Conference of the North American Chapter of the Association for Computational …
![Link to MCML at CHI 2024](/images/conferences/chi24.webp)
05.05.2024
MCML at CHI 2024
We are happy to announce that MCML researchers are represented at the CHI 2024 conference on Human Factors in Computing Systems.
![Link to MCML at AISTATS 2024](/images/conferences/aistats.webp)
30.04.2024
MCML at AISTATS 2024
We are happy to announce that MCML researchers are represented at the 27th International Conference on Artificial Intelligence and Statistics.
![Link to MCML at ICLR 2024](/images/conferences/iclr-logo.jpg)
30.04.2024
MCML at ICLR 2024
We are happy to announce that MCML researchers are represented at the 12th International Conference on Learning Representations.
![Link to MCML at PAKDD 2024](/images/conferences/pakdd24.webp)
30.04.2024
MCML at PAKDD 2024
We are happy to announce that MCML researchers are represented at the 28th PAKDD.