Paper-Conference

Sora3R: Can Video Diffusion Model Reconstruct 4D Geometry ?
Sora3R: Can Video Diffusion Model Reconstruct 4D Geometry ?

We repurpose video diffusion models to reconstruct 4D geometry (4D pointmaps) from monocular video.

Mar 16, 2025

TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Tracks
TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Tracks

We introduce global bundle adjustment for NeRFs, significantly improving the quality of novel view synthesis from sparse views with noisy poses or even without poses.

Sep 1, 2024

Vivid-ZOO: Multi-View Video Generation with Diffusion Model
Vivid-ZOO: Multi-View Video Generation with Diffusion Model

We propose multiview video diffusion models that generate high-quality multi-view videos for dynamic objects from text.

Jun 14, 2024

GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering
GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering

An improvement of 3D Gaussian Splatting.

Jun 1, 2024

Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors

We propose to use both 2D and 3D diffusion models through SDS optimization to generate high-quality, textured 3D meshes from a single image in the wild.

Mar 14, 2024

EgoLoc: Revisiting 3D Object Localization from Egocentric Videos with Visual Queries
EgoLoc: Revisiting 3D Object Localization from Egocentric Videos with Visual Queries

We propose EgoLoc, a novel approach for localizing 3D objects from egocentric videos, achieving SOTA performance on the Ego4D VQ3D task with 87.12% success rate over previous SOTA of only 8%.

Oct 1, 2023

PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

We revisit PointNet++ and propose PointNeXt, a next-generation PointNet architecture.

Nov 1, 2022

Erasing Integrated Learning : A Simple yet Effective Approach for Weakly Supervised Object Localization
Erasing Integrated Learning : A Simple yet Effective Approach for Weakly Supervised Object Localization

We propose EIL, a novel adversarial erasing technique for weakly supervised object localization.

Oct 1, 2020