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ACE0 is a learning-based structure-from-motion approach that estimates camera parameters of sets of images by learning a multi-view consistent, implicit scene representation.
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks
[EuroSys'24] Minuet: Accelerating 3D Sparse Convolutions on GPUs
[CVPR2024] NeuRAD: Neural Rendering for Autonomous Driving
[CVPR 2024] Probing the 3D Awareness of Visual Foundation Models
[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
Implementation of latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction
V3D: Video Diffusion Models are Effective 3D Generators
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Single Image to 3D using Cross-Domain Diffusion for 3D Generation
[CVPR2024 Oral] EscherNet: A Generative Model for Scalable View Synthesis
[CVPR 2024, highlight] Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments
[CVPR 2024] code release for "DiffusionLight: Light Probes for Free by Painting a Chrome Ball"
An open-source impl. of Large Reconstruction Models
[CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)
[CVPR 2024, highlight] Dynamic LiDAR Re-simulation using Compositional Neural Fields
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation