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Found 4 papers, 0 papers with code
3DFlowRenderer: One-shot Face Re-enactment via Dense 3D Facial Flow Estimation
To ensure the generation of finer facial region with natural-background, our framework only renders the facial foreground region first and learns to inpaint the blank area which needs to be filled due to source face translation, thus reconstructing the detailed background without any unwanted pixel motion.
Naming Objects for Vision-and-Language Manipulation
We propose a robot system and method that incorporates naming with appearance of the objects in advance, so that in the later manipulation task, instruction can be performed with its unique name to disambiguate the objects easily.
SqueezeNeRF: Further factorized FastNeRF for memory-efficient inference
Neural Radiance Fields (NeRF) has emerged as the state-of-the-art method for novel view generation of complex scenes, but is very slow during inference.
Thinking the Fusion Strategy of Multi-reference Face Reenactment
In recent advances of deep generative models, face reenactment -manipulating and controlling human face, including their head movement-has drawn much attention for its wide range of applicability.
