Search Results for author:
Found 21 papers, 9 papers with code
Quadruplet Network with One-Shot Learning for Fast Visual Object Tracking
In this paper, we propose a new quadruplet deep network to examine the potential connections among the training instances, aiming to achieve a more powerful representation.
Progressive Feature Polishing Network for Salient Object Detection
Feature matters for salient object detection.
Example-based Real-time Clothing Synthesis for Virtual Agents
Given a query shape and pose of the virtual agent, we synthesize the resulting clothing deformation by blending the Taylor expansion results of nearby anchoring points.
Graphics
HairMapper: Removing Hair From Portraits Using GANs
Removing hair from portrait images is challenging due to the complex occlusions between hair and face, as well as the lack of paired portrait data with/without hair.
Do Inpainting Yourself: Generative Facial Inpainting Guided by Exemplars
We introduce a novel attribute similarity metric to encourage networks to learn the style of facial attributes from the exemplar in a self-supervised way.
Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion Networks
We present a learning algorithm that uses bone-driven motion networks to predict the deformation of loose-fitting garment meshes at interactive rates.
Real-time Controllable Motion Transition for Characters
Then, during generation, we design a transition model which is essentially a sampling strategy to sample from the learned manifold, based on the target frame and the aimed transition duration.
Parametric Reshaping of Portraits in Videos
In the second stage, we first reshape the reconstructed 3D face using a parametric reshaping model reflecting the weight change of the face, and then utilize the reshaped 3D face to guide the warping of video frames.
LPFF: A Portrait Dataset for Face Generators Across Large Poses
To better validate our pose-conditional 3D-aware generators, we develop a new FID measure to evaluate the 3D-level performance.
GRIG: Few-Shot Generative Residual Image Inpainting
Image inpainting is the task of filling in missing or masked region of an image with semantically meaningful contents.
RSMT: Real-time Stylized Motion Transition for Characters
Styled online in-between motion generation has important application scenarios in computer animation and games.
3DPortraitGAN: Learning One-Quarter Headshot 3D GANs from a Single-View Portrait Dataset with Diverse Body Poses
We then propose 3DPortraitGAN, the first 3D-aware one-quarter headshot portrait generator that learns a canonical 3D avatar distribution from the 360{\deg}PHQ dataset with body pose self-learning.
A General Implicit Framework for Fast NeRF Composition and Rendering
Mainly, our work introduces a new surface representation known as Neural Depth Fields (NeDF) that quickly determines the spatial relationship between objects by allowing direct intersection computation between rays and implicit surfaces.
A Locality-based Neural Solver for Optical Motion Capture
Finally, we propose a training regime based on representation learning and data augmentation, by training the model on data with masking.
Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction
Implicit neural representation has paved the way for new approaches to dynamic scene reconstruction and rendering.
Enhancing the Authenticity of Rendered Portraits with Identity-Consistent Transfer Learning
In this paper, we present a novel photo-realistic portrait generation framework that can effectively mitigate the ''uncanny valley'' effect and improve the overall authenticity of rendered portraits.
SIRe-IR: Inverse Rendering for BRDF Reconstruction with Shadow and Illumination Removal in High-Illuminance Scenes
Implicit neural representation has opened up new possibilities for inverse rendering.
On Optimal Sampling for Learning SDF Using MLPs Equipped with Positional Encoding
Sampling against this intrinsic frequency following the Nyquist-Sannon sampling theorem allows us to determine an appropriate training sampling rate.
Spec-Gaussian: Anisotropic View-Dependent Appearance for 3D Gaussian Splatting
The recent advancements in 3D Gaussian splatting (3D-GS) have not only facilitated real-time rendering through modern GPU rasterization pipelines but have also attained state-of-the-art rendering quality.
SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents
Pedestrian trajectory prediction is the key technology in many applications for providing insights into human behavior and anticipating human future motions.
Portrait3D: Text-Guided High-Quality 3D Portrait Generation Using Pyramid Representation and GANs Prior
Existing neural rendering-based text-to-3D-portrait generation methods typically make use of human geometry prior and diffusion models to obtain guidance.
