372 citations · 379 across the 7 of their papers we have counts for
6 papers · 1 filter
InstanceGen: Image Generation with Instance-level Instructions
Etai Sella, Yanir Kleiman, Hadar Averbuch-Elor
Despite rapid advancements in the capabilities of generative models, pretrained text-to-image models still struggle in capturing the semantics conveyed by complex prompts that comp…
Meta 3D Gen
Raphael Bensadoun, Tom Monnier, Yanir Kleiman +17
We introduce Meta 3D Gen (3DGen), a new state-of-the-art, fast pipeline for text-to-3D asset generation. 3DGen offers 3D asset creation with high prompt fidelity and high-quality 3…
Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials
Yawar Siddiqui, Tom Monnier, Filippos Kokkinos +8
We present Meta 3D AssetGen (AssetGen), a significant advancement in text-to-3D generation which produces faithful, high-quality meshes with texture and material control. Compared…
Meta 3D TextureGen: Fast and Consistent Texture Generation for 3D Objects
Raphael Bensadoun, Yanir Kleiman, Idan Azuri +4
The recent availability and adaptability of text-to-image models has sparked a new era in many related domains that benefit from the learned text priors as well as high-quality and…
Replay: Multi-modal Multi-view Acted Videos for Casual Holography
Roman Shapovalov, Yanir Kleiman, Ignacio Rocco +6
We introduce Replay, a collection of multi-view, multi-modal videos of humans interacting socially. Each scene is filmed in high production quality, from different viewpoints with…
Bundle Optimization for Multi-aspect Embedding
Qiong Zeng, Baoquan Chen, Yanir Kleiman +2
Understanding semantic similarity among images is the core of a wide range of computer vision applications. An important step towards this goal is to collect and learn human percep…