Isabel-jin
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[NeurIPS 2024] VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction
[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
[CVPR'2025] NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction
[CVPR25] SPC-GS: Gaussian Splatting with Semantic-Prompt Consistency for Indoor Open-World Free-view Synthesis from Sparse Inputs
Official implementation of the paper "LangSplat: 3D Language Gaussian Splatting" [CVPR2024 Highlight]
Official implementation of “4D LangSplat: 4D Language Gaussian Splatting via Multimodal Large Language Models” (CVPR 2025)
[CVPR 2025] MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors
ZeroGS: Training 3D Gaussian Splatting from Unposed Images.
🌳 [ICRA'25] Hier-SLAM: Semantic Gaussian Splatting SLAM with Hierarchical Categorical Representation
[CVPR 2025] Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass
An open source platform for visual-inertial navigation research.
Code for "Detector-Free Structure from Motion", CVPR 2024
[CVPR 2024 Highlight] Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering
[3DV 2024] official repo of 3DV paper "RoomDesigner: Encoding Anchor-latents for Style-consistent and Shape-compatible Indoor Scene Generation"
[ICCV 2023 Oral] ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes
[NeurIPS'22] MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
[ICLR 2025, Spotlight] ND-SDF: Learning Normal Deflection Fields for High-Fidelity Indoor Reconstruction
InstantSplat: Sparse-view SfM-free Gaussian Splatting in Seconds
[CVPR 2025] FoundationStereo: Zero-Shot Stereo Matching
Open source impl of **MV-DUSt3R+ Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds** from Meta Reality Labs. Project page https://mv-dust3rp.github.io/
A latent text-to-image diffusion model