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20172025
most citedBlenderAlchemy: Editing 3D Graphics with Vision-Language Models

1 citations · 3 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

SpaceControl: Introducing Test-Time Spatial Control to 3D Generative Modeling

Elisabetta Fedele, Francis Engelmann, Ian Huang +3

Generative methods for 3D assets have recently achieved remarkable progress, yet providing intuitive and precise control over the object geometry remains a key challenge. Existing…

cs.CV2025

FirePlace: Geometric Refinements of LLM Common Sense Reasoning for 3D Object Placement

Ian Huang, Yanan Bao, Karen Truong +4

Scene generation with 3D assets presents a complex challenge, requiring both high-level semantic understanding and low-level geometric reasoning. While Multimodal Large Language Mo…

cs.CV2024★ 1 cited

BlenderAlchemy: Editing 3D Graphics with Vision-Language Models

Ian Huang, Guandao Yang, Leonidas Guibas

Graphics design is important for various applications, including movie production and game design. To create a high-quality scene, designers usually need to spend hours in software…

cs.CV2023★ 1 cited

CAD: Photorealistic 3D Generation via Adversarial Distillation

Ziyu Wan, Despoina Paschalidou, Ian Huang +5

The increased demand for 3D data in AR/VR, robotics and gaming applications, gave rise to powerful generative pipelines capable of synthesizing high-quality 3D objects. Most of the…

cs.CV2017★ 1 cited

Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries

Yuting Zhang, Luyao Yuan, Yijie Guo +3

Associating image regions with text queries has been recently explored as a new way to bridge visual and linguistic representations. A few pioneering approaches have been proposed…