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20212026
most citedLumiere: A Space-Time Diffusion Model for Video Generation

17 citations · 26 across the 14 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024

SimVS: Simulating World Inconsistencies for Robust View Synthesis

Alex Trevithick, Roni Paiss, Philipp Henzler +9

Novel-view synthesis techniques achieve impressive results for static scenes but struggle when faced with the inconsistencies inherent to casual capture settings: varying illuminat…

cs.CV2024

ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuning

David Junhao Zhang, Roni Paiss, Shiran Zada +7

Recently, breakthroughs in video modeling have allowed for controllable camera trajectories in generated videos. However, these methods cannot be directly applied to user-provided…

cs.CV2024

VidPanos: Generative Panoramic Videos from Casual Panning Videos

Jingwei Ma, Erika Lu, Roni Paiss +6

Panoramic image stitching provides a unified, wide-angle view of a scene that extends beyond the camera's field of view. Stitching frames of a panning video into a panoramic photog…

cs.CV2024★ 4 cited

Imagen 3

Imagen-Team-Google, :, Jason Baldridge +257

We introduce Imagen 3, a latent diffusion model that generates high quality images from text prompts. We describe our quality and responsibility evaluations. Imagen 3 is preferred…

cs.CV2024★ 1 cited

Still-Moving: Customized Video Generation without Customized Video Data

Hila Chefer, Shiran Zada, Roni Paiss +7

Customizing text-to-image (T2I) models has seen tremendous progress recently, particularly in areas such as personalization, stylization, and conditional generation. However, expan…

cs.CV2024★ 17 cited

Lumiere: A Space-Time Diffusion Model for Video Generation

Omer Bar-Tal, Hila Chefer, Omer Tov +14

We introduce Lumiere -- a text-to-video diffusion model designed for synthesizing videos that portray realistic, diverse and coherent motion -- a pivotal challenge in video synthes…