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20232026
most citedA Survey on Text-Driven 360-Degree Panorama Generation

3 citations · 8 across the 12 of their papers we have counts for

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cs.CV2025

Shoot-Bounce-3D: Single-Shot Occlusion-Aware 3D from Lidar by Decomposing Two-Bounce Light

Tzofi Klinghoffer, Siddharth Somasundaram, Xiaoyu Xiang +5

3D scene reconstruction from a single measurement is challenging, especially in the presence of occluded regions and specular materials, such as mirrors. We address these challenge…

cs.CV2025

WorldGen: From Text to Traversable and Interactive 3D Worlds

Dilin Wang, Hyunyoung Jung, Tom Monnier +22

We introduce WorldGen, a system that enables the automatic creation of large-scale, interactive 3D worlds directly from text prompts. Our approach transforms natural language descr…

cs.CV2025★ 3 cited

A Survey on Text-Driven 360-Degree Panorama Generation

Hai Wang, Xiaoyu Xiang, Weihao Xia +1

The advent of text-driven 360-degree panorama generation, enabling the synthesis of 360-degree panoramic images directly from textual descriptions, marks a transformative advanceme…

cs.CV2025

Make-A-Texture: Fast Shape-Aware Texture Generation in 3 Seconds

Xiaoyu Xiang, Liat Sless Gorelik, Yuchen Fan +5

We present Make-A-Texture, a new framework that efficiently synthesizes high-resolution texture maps from textual prompts for given 3D geometries. Our approach progressively genera…

cs.CV2024

UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model

Shuai Yuan, Lei Luo, Zhuo Hui +4

Traditional unsupervised optical flow methods are vulnerable to occlusions and motion boundaries due to lack of object-level information. Therefore, we propose UnSAMFlow, an unsupe…

cs.CV2024★ 2 cited

Garment3DGen: 3D Garment Stylization and Texture Generation

Nikolaos Sarafianos, Tuur Stuyck, Xiaoyu Xiang +3

We introduce Garment3DGen a new method to synthesize 3D garment assets from a base mesh given a single input image as guidance. Our proposed approach allows users to generate 3D te…

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.CV2023★ 1 cited

PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar

Tzofi Klinghoffer, Xiaoyu Xiang, Siddharth Somasundaram +4

3D reconstruction from a single-view is challenging because of the ambiguity from monocular cues and lack of information about occluded regions. Neural radiance fields (NeRF), whil…

cs.CV2023★ 1 cited

Customizing 360-Degree Panoramas through Text-to-Image Diffusion Models

Hai Wang, Xiaoyu Xiang, Yuchen Fan +1

Personalized text-to-image (T2I) synthesis based on diffusion models has attracted significant attention in recent research. However, existing methods primarily concentrate on cust…