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20232026
most citedFlairGPT: Repurposing LLMs for Interior Designs

7 citations · 9 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

ActionMesh: Animated 3D Mesh Generation with Temporal 3D Diffusion

Remy Sabathier, David Novotny, Niloy J. Mitra +1

Generating animated 3D objects is at the heart of many applications, yet most advanced works are typically difficult to apply in practice because of their limited setup, their long…

cs.CV2025

From Programs to Poses: Factored Real-World Scene Generation via Learned Program Libraries

Joy Hsu, Emily Jin, Jiajun Wu +1

Real-world scenes, such as those in ScanNet, are difficult to capture, with highly limited data available. Generating realistic scenes with varied object poses remains an open and…

cs.CV2025

LIM: Large Interpolator Model for Dynamic Reconstruction

Remy Sabathier, Niloy J. Mitra, David Novotny

Reconstructing dynamic assets from video data is central to many in computer vision and graphics tasks. Existing 4D reconstruction approaches are limited by category-specific model…

cs.CV2024★ 1 cited

How to Spin an Object: First, Get the Shape Right

Rishabh Kabra, Drew A. Hudson, Sjoerd van Steenkiste +2

Image-to-3D models increasingly rely on hierarchical generation to disentangle geometry and texture. However, the design choices underlying these two-stage models--particularly the…

cs.CV2023★ 1 cited

CADTalk: An Algorithm and Benchmark for Semantic Commenting of CAD Programs

Haocheng Yuan, Jing Xu, Hao Pan +3

CAD programs are a popular way to compactly encode shapes as a sequence of operations that are easy to parametrically modify. However, without sufficient semantic comments and stru…