activity
20162026
most citedNeural 3D Reconstruction in the Wild

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

collaborators
Showing 2023Show all

11 papers · 1 filter

cs.CV2023

Mitigating Open-Vocabulary Caption Hallucinations

Assaf Ben-Kish, Moran Yanuka, Morris Alper +2

While recent years have seen rapid progress in image-conditioned text generation, image captioning still suffers from the fundamental issue of hallucinations, namely, the generatio…

cs.CV2023★ 1 cited

Cross-Image Attention for Zero-Shot Appearance Transfer

Yuval Alaluf, Daniel Garibi, Or Patashnik +2

Recent advancements in text-to-image generative models have demonstrated a remarkable ability to capture a deep semantic understanding of images. In this work, we leverage this sem…

cs.CV2023★ 1 cited

Spice-E : Structural Priors in 3D Diffusion using Cross-Entity Attention

Etai Sella, Gal Fiebelman, Noam Atia +1

We are witnessing rapid progress in automatically generating and manipulating 3D assets due to the availability of pretrained text-image diffusion models. However, time-consuming o…

cs.CV2023★ 2 cited

Kiki or Bouba? Sound Symbolism in Vision-and-Language Models

Morris Alper, Hadar Averbuch-Elor

Although the mapping between sound and meaning in human language is assumed to be largely arbitrary, research in cognitive science has shown that there are non-trivial correlations…

cs.CV2023

Doppelgangers: Learning to Disambiguate Images of Similar Structures

Ruojin Cai, Joseph Tung, Qianqian Wang +3

We consider the visual disambiguation task of determining whether a pair of visually similar images depict the same or distinct 3D surfaces (e.g., the same or opposite sides of a s…

cs.CL2023★ 1 cited

A Joint Study of Phrase Grounding and Task Performance in Vision and Language Models

Noriyuki Kojima, Hadar Averbuch-Elor, Yoav Artzi

Key to tasks that require reasoning about natural language in visual contexts is grounding words and phrases to image regions. However, observing this grounding in contemporary mod…

cs.CV2023

Neural Scene Chronology

Haotong Lin, Qianqian Wang, Ruojin Cai +4

In this work, we aim to reconstruct a time-varying 3D model, capable of rendering photo-realistic renderings with independent control of viewpoint, illumination, and time, from Int…

cs.CV2023

Learning Human-Human Interactions in Images from Weak Textual Supervision

Morris Alper, Hadar Averbuch-Elor

Interactions between humans are diverse and context-dependent, but previous works have treated them as categorical, disregarding the heavy tail of possible interactions. We propose…

cs.CV2023

Is BERT Blind? Exploring the Effect of Vision-and-Language Pretraining on Visual Language Understanding

Morris Alper, Michael Fiman, Hadar Averbuch-Elor

Most humans use visual imagination to understand and reason about language, but models such as BERT reason about language using knowledge acquired during text-only pretraining. In…

cs.CV2023★ 1 cited

Vox-E: Text-guided Voxel Editing of 3D Objects

Etai Sella, Gal Fiebelman, Peter Hedman +1

Large scale text-guided diffusion models have garnered significant attention due to their ability to synthesize diverse images that convey complex visual concepts. This generative…

cs.CV2023★ 2 cited

Localizing Object-level Shape Variations with Text-to-Image Diffusion Models

Or Patashnik, Daniel Garibi, Idan Azuri +2

Text-to-image models give rise to workflows which often begin with an exploration step, where users sift through a large collection of generated images. The global nature of the te…