activity
20182026
most citedMemoVis: A GenAI-Powered Tool for Creating Companion Reference Images for 3D Design Feedback

11 citations · 15 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

12 papers · 1 filter

cs.CV2026

Seeing Through Clutter: Structured 3D Scene Reconstruction via Iterative Object Removal

Rio Aguina-Kang, Kevin James Blackburn-Matzen, Thibault Groueix +2

We present SeeingThroughClutter, a method for reconstructing structured 3D representations from single images by segmenting and modeling objects individually. Prior approaches rely…

cs.CV2025

WorldGen: From Text to Traversable and Interactive 3D Worlds

Dilin Wang, Hyunyoung Jung, Tom Monnier +22

We introduce WorldGen, a system that enables the automatic creation of large-scale, interactive 3D worlds directly from text prompts. Our approach transforms natural language descr…

cs.CV2025

Reusing Computation in Text-to-Image Diffusion for Efficient Generation of Image Sets

Dale Decatur, Thibault Groueix, Wang Yifan +3

Text-to-image diffusion models enable high-quality image generation but are computationally expensive. While prior work optimizes per-inference efficiency, we explore an orthogonal…

cs.CV2024

Pattern Analogies: Learning to Perform Programmatic Image Edits by Analogy

Aditya Ganeshan, Thibault Groueix, Paul Guerrero +3

Pattern images are everywhere in the digital and physical worlds, and tools to edit them are valuable. But editing pattern images is tricky: desired edits are often programmatic: s…

cs.CV2024

Instant3dit: Multiview Inpainting for Fast Editing of 3D Objects

Amir Barda, Matheus Gadelha, Vladimir G. Kim +3

We propose a generative technique to edit 3D shapes, represented as meshes, NeRFs, or Gaussian Splats, in approximately 3 seconds, without the need for running an SDS type of optim…

cs.CV2024

SAMa: Material-aware 3D Selection and Segmentation

Michael Fischer, Iliyan Georgiev, Thibault Groueix +3

Decomposing 3D assets into material parts is a common task for artists, yet remains a highly manual process. In this work, we introduce Select Any Material (SAMa), a material selec…