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20242026
most citedAGG: Amortized Generative 3D Gaussians for Single Image to 3D

2 citations · 5 across the 6 of their papers we have counts for

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cs.CV2026

Grounded 3D-Aware Spatial Vision-Language Modeling

An-Chieh Cheng, Yang Fu, Yatai Ji +12

We present GR3D, a spatial vision language model equipped with three complementary grounding capabilities--explicit 2D grounding, implicit 2D grounding, and monocular 3D grounding-…

cs.CV2025

BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations

Weixi Feng, Chao Liu, Sifei Liu +3

Existing video generation models struggle to follow complex text prompts and synthesize multiple objects, raising the need for additional grounding input for improved controllabili…

cs.CV2024★ 2 cited

CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation

Dejia Xu, Weili Nie, Chao Liu +4

Recently video diffusion models have emerged as expressive generative tools for high-quality video content creation readily available to general users. However, these models often…

cs.CV2024★ 1 cited

Compositional Text-to-Image Generation with Dense Blob Representations

Weili Nie, Sifei Liu, Morteza Mardani +3

Existing text-to-image models struggle to follow complex text prompts, raising the need for extra grounding inputs for better controllability. In this work, we propose to decompose…

cs.CV2024★ 2 cited

AGG: Amortized Generative 3D Gaussians for Single Image to 3D

Dejia Xu, Ye Yuan, Morteza Mardani +4

Given the growing need for automatic 3D content creation pipelines, various 3D representations have been studied to generate 3D objects from a single image. Due to its superior ren…