output
20122026
most citedRobots that can adapt like animals

963 citations

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23 papers · 1 filter

cs.CV2024★ 3 cited

OnlyFlow: Optical Flow based Motion Conditioning for Video Diffusion Models

Mathis Koroglu, Hugo Caselles-Dupré, Guillaume Jeanneret Sanmiguel +1

We consider the problem of text-to-video generation tasks with precise control for various applications such as camera movement control and video-to-video editing. Most methods tac…

cs.CV2024★ 2 cited

LoGDesc: Local geometric features aggregation for robust point cloud registration

Karim Slimani, Brahim Tamadazte, Catherine Achard

This paper introduces a new hybrid descriptor for 3D point matching and point cloud registration, combining local geometrical properties and learning-based feature propagation for…

cs.CV2024

2D or not 2D: How Does the Dimensionality of Gesture Representation Affect 3D Co-Speech Gesture Generation?

Téo Guichoux, Laure Soulier, Nicolas Obin +1

Co-speech gestures are fundamental for communication. The advent of recent deep learning techniques has facilitated the creation of lifelike, synchronous co-speech gestures for Emb…

cs.CV2024

GalLoP: Learning Global and Local Prompts for Vision-Language Models

Marc Lafon, Elias Ramzi, Clément Rambour +2

Prompt learning has been widely adopted to efficiently adapt vision-language models (VLMs), e.g. CLIP, for few-shot image classification. Despite their success, most prompt learnin…

cs.CV2024

Restyling Unsupervised Concept Based Interpretable Networks with Generative Models

Jayneel Parekh, Quentin Bouniot, Pavlo Mozharovskyi +2

Developing inherently interpretable models for prediction has gained prominence in recent years. A subclass of these models, wherein the interpretable network relies on learning hi…

cs.CV2024

FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models

Barbara Toniella Corradini, Mustafa Shukor, Paul Couairon +3

Foundation models have exhibited unprecedented capabilities in tackling many domains and tasks. Models such as CLIP are currently widely used to bridge cross-modal representations,…