329 citations · 550 across the 13 of their papers we have counts for
5 papers · 1 filter
Emu Edit: Precise Image Editing via Recognition and Generation Tasks
Shelly Sheynin, Adam Polyak, Uriel Singer +5
Instruction-based image editing holds immense potential for a variety of applications, as it enables users to perform any editing operation using a natural language instruction. Ho…
Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack
Xiaoliang Dai, Ji Hou, Chih-Yao Ma +23
Training text-to-image models with web scale image-text pairs enables the generation of a wide range of visual concepts from text. However, these pre-trained models often face chal…
Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generation
Samaneh Azadi, Akbar Shah, Thomas Hayes +2
Text-guided human motion generation has drawn significant interest because of its impactful applications spanning animation and robotics. Recently, application of diffusion models…
Text-Conditional Contextualized Avatars For Zero-Shot Personalization
Samaneh Azadi, Thomas Hayes, Akbar Shah +3
Recent large-scale text-to-image generation models have made significant improvements in the quality, realism, and diversity of the synthesized images and enable users to control t…
Text-To-4D Dynamic Scene Generation
Uriel Singer, Shelly Sheynin, Adam Polyak +8
We present MAV3D (Make-A-Video3D), a method for generating three-dimensional dynamic scenes from text descriptions. Our approach uses a 4D dynamic Neural Radiance Field (NeRF), whi…