activity
20242026
collaborators

5 papers

cs.AI2026

MultiGen: Level-Design for Editable Multiplayer Worlds in Diffusion Game Engines

Ryan Po, David Junhao Zhang, Amir Hertz +3

Video world models have shown immense promise for interactive simulation and entertainment, but current systems still struggle with two important aspects of interactivity: user con…

cs.CV2026

ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs

Viraj Shah, Nataniel Ruiz, Forrester Cole +4

Methods for finetuning generative models for concept-driven personalization generally achieve strong results for subject-driven or style-driven generation. Recently, low-rank adapt…

cs.CV2025

MotionV2V: Editing Motion in a Video

Ryan Burgert, Charles Herrmann, Forrester Cole +4

While generative video models have achieved remarkable fidelity and consistency, applying these capabilities to video editing remains a complex challenge. Recent research has explo…

cs.CV2024

ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning

David Junhao Zhang, Roni Paiss, Shiran Zada +7

Recently, breakthroughs in video modeling have allowed for controllable camera trajectories in generated videos. However, these methods cannot be directly applied to user-provided…

cs.CV2024

Unbounded: A Generative Infinite Game of Character Life Simulation

Jialu Li, Yuanzhen Li, Neal Wadhwa +5

We introduce the concept of a generative infinite game, a video game that transcends the traditional boundaries of finite, hard-coded systems by using generative models. Inspired b…