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Found 23 papers, 9 papers with code
NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results
This paper presents a review for the NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement.
Enhanced Semantic Extraction and Guidance for UGC Image Super Resolution
Due to the disparity between real-world degradations in user-generated content(UGC) images and synthetic degradations, traditional super-resolution methods struggle to generalize effectively, necessitating a more robust approach to model real-world distortions.
Face De-identification: State-of-the-art Methods and Comparative Studies
The widespread use of image acquisition technologies, along with advances in facial recognition, has raised serious privacy concerns.
PoseTalk: Text-and-Audio-based Pose Control and Motion Refinement for One-Shot Talking Head Generation
First, we propose to generate poses from both audio and text prompts, where the audio offers short-term variations and rhythm correspondence of the head movements and the text prompts describe the long-term semantics of head motions.
S4D: Streaming 4D Real-World Reconstruction with Gaussians and 3D Control Points
To address these challenges, we introduce a novel approach for streaming 4D real-world reconstruction utilizing discrete 3D control points.
Diff-Restorer: Unleashing Visual Prompts for Diffusion-based Universal Image Restoration
Image restoration is a classic low-level problem aimed at recovering high-quality images from low-quality images with various degradations such as blur, noise, rain, haze, etc.
MRIR: Integrating Multimodal Insights for Diffusion-based Realistic Image Restoration
In this work, we delve into the potential of utilizing pre-trained stable diffusion for image restoration and propose MRIR, a diffusion-based restoration method with multimodal insights.
Multimodal Semantic-Aware Automatic Colorization with Diffusion Prior
Existing automatic colorization methods often fail to generate satisfactory results due to incorrect semantic colors and unsaturated colors.
Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views
A point cloud is constructed for each input view, characterized within the voxel grid using matrices and vectors.
Disentangled Clothed Avatar Generation from Text Descriptions
In this paper, we introduce a novel text-to-avatar generation method that separately generates the human body and the clothes and allows high-quality animation on the generated avatar.
Implicit-explicit Integrated Representations for Multi-view Video Compression
To further enhance the reconstruction quality from the INR codec, we leverage the high-quality reconstructed frames from the explicit codec to achieve inter-view compensation.
360-Degree Panorama Generation from Few Unregistered NFoV Images
360$^\circ$ panoramas are extensively utilized as environmental light sources in computer graphics.
Learning Dense UV Completion for Human Mesh Recovery
Our method utilizes a dense correspondence map to separate visible human features and completes human features on a structured UV map dense human with an attention-based feature completion module.
Boosting Video Object Segmentation via Space-time Correspondence Learning
Current top-leading solutions for video object segmentation (VOS) typically follow a matching-based regime: for each query frame, the segmentation mask is inferred according to its correspondence to previously processed and the first annotated frames.
Divide and Conquer: a Two-Step Method for High Quality Face De-identification with Model Explainability
To address these issues, we propose IDeudemon, which employs a "divide and conquer" strategy to protect identity and preserve utility step by step while maintaining good explainability.
A Codec Information Assisted Framework for Efficient Compressed Video Super-Resolution
In this paper, considering the characteristics of compressed videos, we propose a Codec Information Assisted Framework (CIAF) to boost and accelerate recurrent VSR models for compressed videos.
PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer Towards Video Object Detection
The temporal information is introduced by the temporal feature aggregation model (TFAM), by conducting an attention mechanism between the context frames and the target frame (i. e., the frame to be detected).
Ranked #7 on
Video Object Detection
on ImageNet VID
Generative Compression for Face Video: A Hybrid Scheme
As the latest video coding standard, versatile video coding (VVC) has shown its ability in retaining pixel quality.
Region-aware Adaptive Instance Normalization for Image Harmonization
To ensure the visual style consistency between the foreground and the background, in this paper, we treat image harmonization as a style transfer problem.
Ranked #4 on
Image Harmonization
on HAdobe5k(1024$\times$1024)
IdentityDP: Differential Private Identification Protection for Face Images
We propose IdentityDP, a face anonymization framework that combines a data-driven deep neural network with a differential privacy (DP) mechanism.
Personalized and Invertible Face De-Identification by Disentangled Identity Information Manipulation
The popularization of intelligent devices including smartphones and surveillance cameras results in more serious privacy issues.
Toward Fine-grained Facial Expression Manipulation
Previous methods edit an input image under the guidance of a discrete emotion label or absolute condition (e. g., facial action units) to possess the desired expression.
Learning an Inverse Tone Mapping Network with a Generative Adversarial Regularizer
Transferring a low-dynamic-range (LDR) image to a high-dynamic-range (HDR) image, which is the so-called inverse tone mapping (iTM), is an important imaging technique to improve visual effects of imaging devices.
