activity
20192026
most citedImage Outpainting and Harmonization using Generative Adversarial Networks

21 citations · 22 across the 7 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

MilliVid: Hierarchical Latents for Long-Range Consistency in Video Generation

Ishaan Preetam Chandratreya, David Charatan, Basile Van Hoorick +4

Video generative models have become increasingly powerful, but long-range consistency remains challenging to achieve because even a few dozen frames require impractically long tran…

cs.CV2026

AnyView: Synthesizing Any Novel View in Dynamic Scenes

Basile Van Hoorick, Dian Chen, Shun Iwase +7

Modern generative video models excel at producing convincing, high-quality outputs, but struggle to maintain multi-view and spatiotemporal consistency in highly dynamic real-world…

cs.CV2025

SIRE: SE(3) Intrinsic Rigidity Embeddings

Cameron Smith, Basile Van Hoorick, Vitor Guizilini +1

Motion serves as a powerful cue for scene perception and understanding by separating independently moving surfaces and organizing the physical world into distinct entities. We intr…

cs.CV2024

Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis

Basile Van Hoorick, Rundi Wu, Ege Ozguroglu +6

Accurate reconstruction of complex dynamic scenes from just a single viewpoint continues to be a challenging task in computer vision. Current dynamic novel view synthesis methods t…

cs.CV20232 cited

Tracking through Containers and Occluders in the Wild

Basile Van Hoorick, Pavel Tokmakov, Simon Stent +2

Tracking objects with persistence in cluttered and dynamic environments remains a difficult challenge for computer vision systems. In this paper, we introduce , a ne…

cs.CV20221 cited

Revealing Occlusions with 4D Neural Fields

Basile Van Hoorick, Purva Tendulkar, Didac Suris +3

For computer vision systems to operate in dynamic situations, they need to be able to represent and reason about object permanence. We introduce a framework for learning to estimat…