45 citations · 108 across the 7 of their papers we have counts for
8 papers
SemCam: Semantic Camera Motion Control for Video Generation
Janna Bruner, Omer Talmi, Ianir Ideses +3
Controlling the camera relative to a moving subject in an existing video is challenging: behaviors such as maintaining a frontal view require the camera to adapt to the subject's c…
MACRO: Training-free Multi-plane Attention for Closeup Render Optimization
Nitzan Hodos, Roy Amoyal, Lior Fritz +3
Close-up rendering, zooming into a scene well beyond any training camera, is important for virtual production and interactive 3D content, yet remains an open challenge. 3D Gaussian…
SpheRoPE: Zero-Shot Optimization-Free 360 Panorama Generation with Spherical RoPE
Or Hirschorn, Aaron Olender, Eli Alshan +3
We present a zero-shot, training-free and optimization-free framework for generating 360 panoramic images and videos by directly injecting spherical priors into pre-trained diffusi…
Splatent: Splatting Diffusion Latents for Novel View Synthesis
Or Hirschorn, Omer Sela, Inbar Huberman-Spiegelglas +6
Radiance field representations have recently been explored in the latent space of VAEs that are commonly used by diffusion models. This direction offers efficient rendering and sea…
Non-uniform sampling, image recovery from sparse data and the discrete sampling theorem
Leonid P. Yaroslavsky, Gil Shabat, Benny G. Salomon +2
In many applications sampled data are collected in irregular fashion or are partly lost or unavailable. In these cases it is required to convert irregularly sampled signals to regu…
Super-resolution in turbulent videos: making profit from damage
L. Yaroslavsky, B. Fishbain, G. Shabat +1
It is shown that one can make use of local instabilities in turbulent video frames to enhance image resolution beyond the limit defined by the image sampling rate. The paper outlin…