activity
20212026
most citedDepth Refinement for Improved Stereo Reconstruction

1 citations · 1 across the 8 of their papers we have counts for

collaborators

8 papers

cs.GR2026

CaricatureGS: Exaggerating 3D Gaussian Splatting Faces With Gaussian Curvature

Eldad Matmon, Amit Bracha, Noam Rotstein +1

A photorealistic and controllable 3D caricaturization framework for faces is introduced. We start with an intrinsic Gaussian curvature-based surface exaggeration technique, which,…

cs.CV2025

Time-to-Move: Training-Free Motion Controlled Video Generation via Dual-Clock Denoising

Assaf Singer, Noam Rotstein, Amir Mann +2

Diffusion-based video generation can create realistic videos, yet existing image- and text-based conditioning fails to offer precise motion control. Prior methods for motion-condit…

cs.AI2025

SingLoRA: Low Rank Adaptation Using a Single Matrix

David Bensaïd, Noam Rotstein, Roy Velich +2

Low-Rank Adaptation (LoRA) has significantly advanced parameter-efficient fine-tuning of large pretrained models. LoRA augments the pre-trained weights of a model by adding the pro…

cs.CV2024

Pathways on the Image Manifold: Image Editing via Video Generation

Noam Rotstein, Gal Yona, Daniel Silver +3

Recent advances in image editing, driven by image diffusion models, have shown remarkable progress. However, significant challenges remain, as these models often struggle to follow…

cs.CV2024

Paint by Inpaint: Learning to Add Image Objects by Removing Them First

Navve Wasserman, Noam Rotstein, Roy Ganz +1

Image editing has advanced significantly with the introduction of text-conditioned diffusion models. Despite this progress, seamlessly adding objects to images based on textual ins…

cs.CV2023

FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions

Noam Rotstein, David Bensaid, Shaked Brody +2

The advent of vision-language pre-training techniques enhanced substantial progress in the development of models for image captioning. However, these models frequently produce gene…

cs.CV2021★ 1 cited

Depth Refinement for Improved Stereo Reconstruction

Amit Bracha, Noam Rotstein, David Bensaïd +2

Depth estimation is a cornerstone of a vast number of applications requiring 3D assessment of the environment, such as robotics, augmented reality, and autonomous driving to name a…

cs.CV2021

Multimodal Colored Point Cloud to Image Alignment

Noam Rotstein, Amit Bracha, Ron Kimmel

Reconstruction of geometric structures from images using supervised learning suffers from limited available amount of accurate data. One type of such data is accurate real-world RG…