Search Results for author:
Found 12 papers, 5 papers with code
TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Tracks
Neural radiance fields (NeRFs) generally require many images with accurate poses for accurate novel view synthesis, which does not reflect realistic setups where views can be sparse and poses can be noisy.
Hybrid Structure-from-Motion and Camera Relocalization for Enhanced Egocentric Localization
We built our pipeline EgoLoc-v1, mainly inspired by EgoLoc.
Vivid-ZOO: Multi-View Video Generation with Diffusion Model
To this end, we propose a novel diffusion-based pipeline that generates high-quality multi-view videos centered around a dynamic 3D object from text.
GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering
With the aid of a frequency-modulated loss, GES achieves competitive performance in novel-view synthesis benchmarks while requiring less than half the memory storage of Gaussian Splatting and increasing the rendering speed by up to 39%.
GES : Generalized Exponential Splatting for Efficient Radiance Field Rendering
With the aid of a frequency-modulated loss GES achieves competitive performance in novel-view synthesis benchmarks while requiring less than half the memory storage of Gaussian Splatting and increasing the rendering speed by up to 39%.
Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
We present Magic123, a two-stage coarse-to-fine approach for high-quality, textured 3D meshes generation from a single unposed image in the wild using both2D and 3D priors.
Mindstorms in Natural Language-Based Societies of Mind
What should be the social structure of an NLSOM?
LLM as A Robotic Brain: Unifying Egocentric Memory and Control
In this paper, we propose a novel and generalizable framework called LLM-Brain: using Large-scale Language Model as a robotic brain to unify egocentric memory and control.
EgoLoc: Revisiting 3D Object Localization from Egocentric Videos with Visual Queries
Yet, we point out that the low number of camera poses caused by camera re-localization from previous VQ3D methods severally hinders their overall success rate.
Estimating more camera poses for ego-centric videos is essential for VQ3D
Visual queries 3D localization (VQ3D) is a task in the Ego4D Episodic Memory Benchmark.
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
In this work, we revisit the classical PointNet++ through a systematic study of model training and scaling strategies, and offer two major contributions.
Ranked #3 on
3D Semantic Segmentation
on OpenTrench3D
Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) aims to localize object with only weak supervision like image-level labels.
