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20202025
most citedCCVS: Context-aware Controllable Video Synthesis

30 citations · 35 across the 6 of their papers we have counts for

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6 papers · 1 filter

cs.CV2025

Efficiently Reconstructing Dynamic Scenes One D4RT at a Time

Chuhan Zhang, Guillaume Le Moing, Skanda Koppula +11

Understanding and reconstructing the complex geometry and motion of dynamic scenes from video remains a formidable challenge in computer vision. This paper introduces D4RT, a simpl…

cs.CV2025

SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications

Yana Hasson, Pauline Luc, Liliane Momeni +10

In recent years, there has been a proliferation of spatiotemporal foundation models in different scientific disciplines. While promising, these models are often domain-specific and…

cs.CV2024

Scaling 4D Representations

João Carreira, Dilara Gokay, Michael King +32

Scaling has not yet been convincingly demonstrated for pure self-supervised learning from video. However, prior work has focused evaluations on semantic-related tasks $\unicode{x20…

cs.CV2023

Dense Optical Tracking: Connecting the Dots

Guillaume Le Moing, Jean Ponce, Cordelia Schmid

Recent approaches to point tracking are able to recover the trajectory of any scene point through a large portion of a video despite the presence of occlusions. They are, however,…

cs.CV202130 cited

CCVS: Context-aware Controllable Video Synthesis

Guillaume Le Moing, Jean Ponce, Cordelia Schmid

This presentation introduces a self-supervised learning approach to the synthesis of new video clips from old ones, with several new key elements for improved spatial resolution an…

cs.CV20211 cited

Semantic Palette: Guiding Scene Generation with Class Proportions

Guillaume Le Moing, Tuan-Hung Vu, Himalaya Jain +2

Despite the recent progress of generative adversarial networks (GANs) at synthesizing photo-realistic images, producing complex urban scenes remains a challenging problem. Previous…