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20162026
most citedNeural 3D Reconstruction in the Wild

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

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Showing 2026Show all

9 papers · 1 filter

cs.CV2026

Towards Reconstructing Geographically Diverse Architecture with 3D Foundation Models

Nicky Kriplani, Yiwen Zhang, Angelina Wang +1

Internet-scale photo collections of real-world landmarks have driven progress in 3D computer vision yet remain highly challenging for modern 3D foundation models (3DFMs) that estim…

cs.CV2026

Learning to Read the Contextual Tokens in Diffusion Transformers

Omer Dahary, Etai Sella, Hadar Averbuch-Elor +2

Multimodal Diffusion Transformers (MM-DiTs) jointly process visual and textual representations throughout generation. These models repeatedly update the text tokens through multimo…

cs.CV2026

MosaiChunk: Compositing Spatio-Temporal Memory for Autoregressive Video Generation

Yiwen Zhang, Haocheng Xi, Michael Tian-Yue Liu +4

Long-horizon autoregressive video generation is limited by a finite context window. When an object or scene falls out of context, its fine-grained visual details may be lost and di…

cs.CV2026

NAMESAKES: Probing Identity Memorization in Text-to-Image Models

Morris Alper, Vasudha Varadarajan, Moran Yanuka +2

Text-to-image (T2I) models generate realistic likenesses of some individuals when prompted with their names, raising privacy concerns. However, distinguishing whether a generated f…

cs.CV2026

Latent-Identity Tuning in Text-to-Image Personalization Models

Daniel Garibi, Ronen Kamenetsky, Hadar Averbuch-Elor +2

Generating and editing a person's face demands high precision, as even minor modifications can significantly alter a subject's perceived identity. Current personalization and editi…

cs.CV2026

MV-Forcing: Long Multi-View Video Generation via 4D-Grounded Spatio-Temporal Self-Forcing

Gal Fiebelman, Hadar Averbuch-Elor, Sagie Benaim

Recent advances in video diffusion models have enabled either long single-view generation through temporal autoregression, or short multi-view synthesis through bidirectional atten…

cs.CV2026

Long-tail Internet photo reconstruction

Yuan Li, Yuanbo Xiangli, Hadar Averbuch-Elor +2

Internet photo collections exhibit an extremely long-tailed distribution: a few famous landmarks are densely photographed and easily reconstructed in 3D, while most real-world site…

cs.CV2026

Scene Grounding In the Wild

Tamir Cohen, Leo Segre, Shay Shomer-Chai +2

Reconstructing accurate 3D models of large-scale real-world scenes from unstructured, in-the-wild imagery remains a core challenge in computer vision, especially when the input vie…

cs.GR2026

LooseRoPE: Content-aware Attention Manipulation for Semantic Harmonization

Etai Sella, Yoav Baron, Hadar Averbuch-Elor +2

Recent diffusion-based image editing methods commonly rely on text or high-level instructions to guide the generation process, offering intuitive but coarse control. In contrast, w…