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Found 8 papers, 3 papers with code
Low-latency Space-time Supersampling for Real-time Rendering
With the rise of real-time rendering and the evolution of display devices, there is a growing demand for post-processing methods that offer high-resolution content in a high frame rate.
Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation
In this paper, we develop a Context-Aware Iteration Policy Network for efficient optical flow estimation, which determines the optimal number of iterations per sample.
Unsupervised Disentangling of Facial Representations with 3D-aware Latent Diffusion Models
Second, we propose a novel representation diffusion model (RDM) to disentangle 3D latent into facial identity and expression.
MVFlow: Deep Optical Flow Estimation of Compressed Videos with Motion Vector Prior
Motion vectors, one of the compression information, record the motion of the video frames.
SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model
Optical Flow Estimation aims to find the 2D dense motion field between two frames.
Uncertainty-Guided Spatial Pruning Architecture for Efficient Frame Interpolation
We can use dynamic spatial pruning method to skip redundant computation, but this method cannot properly identify easy regions in VFI tasks without supervision.
Instruct-NeuralTalker: Editing Audio-Driven Talking Radiance Fields with Instructions
Given a short speech video, we first build an efficient talking radiance field, and then apply the latest conditional diffusion model for image editing based on the given instructions and guiding implicit representation optimization towards the editing target.
Feature Pyramid Network for Multi-task Affective Analysis
Affective Analysis is not a single task, and the valence-arousal value, expression class, and action unit can be predicted at the same time.
