Search Results for author:
Found 4 papers, 1 papers with code
TrailBlazer: Trajectory Control for Diffusion-Based Video Generation
Within recent approaches to text-to-video (T2V) generation, achieving controllability in the synthesized video is often a challenge.
FDLS: A Deep Learning Approach to Production Quality, Controllable, and Retargetable Facial Performances
This paper describes FDLS (Facial Deep Learning Solver), which is Weta Digital's solution to these challenges.
Directed Diffusion: Direct Control of Object Placement through Attention Guidance
Text-guided diffusion models such as DALLE-2, Imagen, eDiff-I, and Stable Diffusion are able to generate an effectively endless variety of images given only a short text prompt describing the desired image content.
The HSIC Bottleneck: Deep Learning without Back-Propagation
We introduce the HSIC (Hilbert-Schmidt independence criterion) bottleneck for training deep neural networks.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
