Andrea Tagliasacchi

Grow with the Flow: 4D Reconstruction of Growing Plants with Gaussian Flow Fields

arXiv 2026

Cora: Correspondence-aware image editing using few step diffusion

arXiv 2025

MeshSplatting: Differentiable Rendering with Opaque Meshes

arXiv 2025

Nexels: Neurally-Textured Surfels for Real-Time Novel View Synthesis with Sparse Geometries

arXiv 2025

Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation

arXiv 2025

SMITE: Segment Me In TimE

arXiv 2024

pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction

CVPR 2024 1

Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields

CVPR 2024 1

4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling

CVPR 2024 1

Unsupervised Semantic Correspondence Using Stable Diffusion

unsupervised-semantic-correspondence-using

Kubric: A scalable dataset generator

CVPR 2022 1

MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures

CVPR 2023 1

NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization

CVPR 2023 1

Learning Mesh Representations via Binary Space Partitioning Tree Networks

arXiv 2021

David B. Lindell

Daniel Rebain

Sherwin Bahmani

Ali Mahdavi-Amiri

Jan Held

Kwang Moo Yi

Lily Goli

Marc Van Droogenbroeck

Sauradip Nag

Victor Rong