mlsanityData to 14 Oct 2026

Systematic Evaluation of Novel View Synthesis for Video Place Recognition

arXiv 2603.05876 ↗First posted 6 Mar 2026cs.CV cs.ROcited by 0

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Abstract (arXiv)

The generation of synthetic novel views has the potential to positively impact robot navigation in several ways. In image-based navigation, a novel overhead view generated from a scene taken by a ground robot could be used to guide an aerial robot to that location. In Video Place Recognition (VPR), novel views of ground locations from the air can be added that enable a UAV to identify places seen by the ground robot, and similarly, overhead views can be used to generate novel ground views. This paper presents a systematic evaluation of synthetic novel views in VPR using five public VPR image databases and seven typical image similarity methods. We show that for small synthetic additions, novel views improve VPR recognition statistics. We find that for larger additions, the magnitude of viewpoint change is less important than the number of views added and the type of imagery in the dataset.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 15 of its 23 references that are in the map. First posted on arXiv 6 Mar 2026.

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15 of 23 references.

References · 15

  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  2. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
  3. 2015NetVLAD: CNN architecture for weakly supervised place recognitioncited by 941
  4. 2015DeepStereo: Learning to Predict New Views from the World's Imagerycited by 185
  5. 2022Rethinking Visual Geo-localization for Large-Scale Applicationscited by 163
  6. 2023MixVPR: Feature Mixing for Visual Place Recognitioncited by 161
  7. 2023EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognitioncited by 111
  8. 2023Scaling Laws of Synthetic Images for Model Training ... for Nowcited by 108
  9. 2022Vision Transformer for NeRF-Based View Synthesis from a Single Input Imagecited by 104
  10. 2023R2Former: Unified Retrieval and Reranking Transformer for Place Recognitioncited by 102
  11. 2020VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance Changecited by 101
  12. 2024GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warpingcited by 73
3 more
  1. 2023Visual Place Recognition: A Tutorialcited by 31
  2. 2014On Rendering Synthetic Images for Training an Object Detectorcited by 18
  3. 2022Stronger Together: Air-Ground Robotic Collaboration Using Semanticscited by 8

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