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Dec 2, 2023 · In this paper, we apply neural rendering techniques to the tasks of novel viewpoint synthesis and facial expression driving for human faces and ...
Dynamic Face Expression Generation with Efficient Neural Radiation Field ... Dynamic neural radiance fields for monocular 4D facial avatar reconstruction.
In this paper, we concentrate on two aspects of the drivable face NeRF, the representation power of the driving signal and the efficiency of NeRF rendering.
Jun 17, 2024 · A novel Neural Light Dynamic Fields model is proposed aiming to achieve generating high quality 3D talking face with significant speedup.
Missing: Expression | Show results with:Expression
We use volumetric rendering to generate im- ages from this hybrid representation and demonstrate that such a dynamic neural scene representation can be learned.
Missing: Radiation | Show results with:Radiation
In this paper, we propose an innovative approach termed Expression-Aware Neural Radiance Fields (EA-NeRF) for the talking portraits synthesis with remarkable ...
Missing: Radiation | Show results with:Radiation
We propose a solution to these challenges by developing a 3D GAN framework that learns to generate radiance fields of human bodies or faces in a canonical pose ...
We propose a Few-shot Dynamic Neural Radiance Field (FDNeRF), the first NeRF-based method capable of reconstruction and expression editing of 3D faces.
Missing: Generation Efficient
Jun 24, 2023 · Dynamic Neural Radiance Fields. To acquire an efficient dynamic model, we decoupled the rigid and non-rigid aspects of deformation. The ...
Three core features of this setting can be summarized as: limited training data, fast convergence and excellent generation effect. To this end, we propose a ...