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Found 12 papers, 2 papers with code
Personalized Face Inpainting with Diffusion Models by Parallel Visual Attention
Specifically, we insert parallel attention matrices to each cross-attention module in the denoising network, which attends to features extracted from reference images by an identity encoder.
MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition
In this paper, we study a novel problem in egocentric action recognition, which we term as "Multimodal Generalization" (MMG).
MMG-Ego4D: Multimodal Generalization in Egocentric Action Recognition
In this paper, we study a novel problem in egocentric action recognition, which we term as "Multimodal Generalization" (MMG).
SSDNeRF: Semantic Soft Decomposition of Neural Radiance Fields
Neural Radiance Fields (NeRFs) encode the radiance in a scene parameterized by the scene's plenoptic function.
A Deep Perceptual Measure for Lens and Camera Calibration
Image editing and compositing have become ubiquitous in entertainment, from digital art to AR and VR experiences.
Sampling Based Scene-Space Video Processing
We present a novel, sampling-based framework for processing video that enables high-quality scene-space video effects in the presence of inevitable errors in depth and camera pose estimation.
DeepCalib: a deep learning approach for automatic intrinsic calibration of wide field-of-view cameras
Calibration of wide field-of-view cameras is a fundamental step for numerous visual media production applications, such as 3D reconstruction, image undistortion, augmented reality and camera motion estimation.
Globally Optimal Inlier Set Maximization for Atlanta Frame Estimation
In this work, we describe man-made structures via an appropriate structure assumption, called Atlanta world, which contains a vertical direction (typically the gravity direction) and a set of horizontal directions orthogonal to the vertical direction.
FaceDirector: Continuous Control of Facial Performance in Video
We present a method to continuously blend between multiple facial performances of an actor, which can contain different facial expressions or emotional states.
Intrinsic Decomposition of Image Sequences From Local Temporal Variations
We present a method for intrinsic image decomposition, which aims to decompose images into reflectance and shading layers.
Partial Sum Minimization of Singular Values in Robust PCA: Algorithm and Applications
Robust Principal Component Analysis (RPCA) via rank minimization is a powerful tool for recovering underlying low-rank structure of clean data corrupted with sparse noise/outliers.
