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Stony Brook University
- New York State
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10:15
(UTC -05:00) - https://scholar.google.com/citations?user=AdsoCBgAAAAJ
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"E-RayZer: Self-supervised 3D Reconstruction as Spatial Visual Pre-training" official implementation.
📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉
A differentiable rasterizer used in the project "2D Gaussian Splatting"
The code for the paper "Editable Physically-based Reflections in Raytraced Gaussian Radiance Fields"
Public code for XFactor: Introduces the first geometry-free model to achieve true self-supervised / pose-free Novel View Synthesis (NVS) by learning transferable latent camera pose representations.
Code for ICCV'2025 (Best student paper honorable mention) "RayZer: A Self-supervised Large View Synthesis Model"
[NeurIPS 2025] Pixel-Perfect Depth
A simple state update rule to enhance length generalization for CUT3R
MapAnything: Universal Feed-Forward Metric 3D Reconstruction
Code release for paper "Test-Time Training Done Right"
[ICCV 2025 Oral] MVTracker: Multi-view 3D Point Tracking
minLoRA: a minimal PyTorch library that allows you to apply LoRA to any PyTorch model.
Reference PyTorch implementation and models for DINOv3
ViPE: Video Pose Engine for Geometric 3D Perception
Qwen-Image is a powerful image generation foundation model capable of complex text rendering and precise image editing.
Code of π^3: Permutation-Equivariant Visual Geometry Learning
[CVPR 2025] AerialMegaDepth: Learning Aerial-Ground Reconstruction and View Synthesis
VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold
Official implementation of our ICCV'25 paper "Learning Dense Feature Matching via Lifting Single 2D Image to 3D Space"
[CVPR 2024] LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry
run DROID-SLAM with Metric3D to improve monocular performance