mlsanityData to 14 Oct 2026

Place Anything into Any Video

arXiv 2402.14316 ↗First posted 22 Feb 2024cs.CVcited by 1

Not on the map. Why?

Abstract (arXiv)

Controllable video editing has demonstrated remarkable potential across diverse applications, particularly in scenarios where capturing or re-capturing real-world videos is either impractical or costly. This paper introduces a novel and efficient system named Place-Anything, which facilitates the insertion of any object into any video solely based on a picture or text description of the target object or element. The system comprises three modules: 3D generation, video reconstruction, and 3D target insertion. This integrated approach offers an efficient and effective solution for producing and editing high-quality videos by seamlessly inserting realistic objects. Through a user study, we demonstrate that our system can effortlessly place any object into any video using just a photograph of the object. Our demo video can be found at https://youtu.be/afXqgLLRnTE. Please also visit our project page https://place-anything.github.io to get access.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 9 of its 11 references that are in the map. First posted on arXiv 22 Feb 2024.

Builds on

9 of 11 references.

References · 9

  1. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
  2. 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,025
  3. 2020RAFT: Recurrent All-Pairs Field Transforms for Optical Flowcited by 2,415
  4. 2023Zero-1-to-3: Zero-shot One Image to 3D Objectcited by 1,489
  5. 2020ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAMcited by 878
  6. 2023DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creationcited by 843
  7. 2020Accelerating 3D Deep Learning with PyTorch3Dcited by 784
  8. 2016Direct Sparse Odometrycited by 485
  9. 2023DreamBooth3D: Subject-Driven Text-to-3D Generationcited by 235

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.