activity
20162026
most citedNeural 3D Reconstruction in the Wild

105 citations · 139 across the 46 of their papers we have counts for

collaborators
Showing 2025Show all

10 papers · 1 filter

cs.CV2025

Lang3D-XL: Language Embedded 3D Gaussians for Large-scale Scenes

Shai Krakovsky, Gal Fiebelman, Sagie Benaim +1

Embedding a language field in a 3D representation enables richer semantic understanding of spatial environments by linking geometry with descriptive meaning. This allows for a more…

cs.CV2025

Emergent Extreme-View Geometry in 3D Foundation Models

Yiwen Zhang, Joseph Tung, Ruojin Cai +2

3D foundation models (3DFMs) have recently transformed 3D vision, enabling joint prediction of depths, poses, and point maps directly from images. Yet their ability to reason under…

cs.CV2025

Color Bind: Exploring Color Perception in Text-to-Image Models

Shay Shomer-Chai, Wenxuan Peng, Bharath Hariharan +1

Text-to-image generation has recently seen remarkable success, granting users with the ability to create high-quality images through the use of text. However, contemporary methods…

eess.IV2025

Systole-Conditioned Generative Cardiac Motion

Shahar Zuler, Gal Lifshitz, Hadar Averbuch-Elor +1

Accurate motion estimation in cardiac computed tomography (CT) imaging is critical for assessing cardiac function and surgical planning. Data-driven methods have become the standar…

cs.CV2025

Supercharging Floorplan Localization with Semantic Rays

Yuval Grader, Hadar Averbuch-Elor

Floorplans provide a compact representation of the building's structure, revealing not only layout information but also detailed semantics such as the locations of windows and door…

cs.CV2025

WildCAT3D: Appearance-Aware Multi-View Diffusion in the Wild

Morris Alper, David Novotny, Filippos Kokkinos +2

Despite recent advances in sparse novel view synthesis (NVS) applied to object-centric scenes, scene-level NVS remains a challenge. A central issue is the lack of available clean m…

cs.CV2025

InstanceGen: Image Generation with Instance-level Instructions

Etai Sella, Yanir Kleiman, Hadar Averbuch-Elor

Despite rapid advancements in the capabilities of generative models, pretrained text-to-image models still struggle in capturing the semantics conveyed by complex prompts that comp…

cs.GR2025

Let it Snow! Animating 3D Gaussian Scenes with Dynamic Weather Effects via Physics-Guided Score Distillation

Gal Fiebelman, Hadar Averbuch-Elor, Sagie Benaim

3D Gaussian Splatting has recently enabled fast and photorealistic reconstruction of static 3D scenes. However, dynamic editing of such scenes remains a significant challenge. We i…

cs.CV2025

ProtoSnap: Prototype Alignment for Cuneiform Signs

Rachel Mikulinsky, Morris Alper, Shai Gordin +3

The cuneiform writing system served as the medium for transmitting knowledge in the ancient Near East for a period of over three thousand years. Cuneiform signs have a complex inte…

cs.CV2025

Dynamic Scene Understanding from Vision-Language Representations

Shahaf Pruss, Morris Alper, Hadar Averbuch-Elor

Images depicting complex, dynamic scenes are challenging to parse automatically, requiring both high-level comprehension of the overall situation and fine-grained identification of…