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Found 14 papers, 5 papers with code
DiffusionGAN3D: Boosting Text-guided 3D Generation and Domain Adaptation by Combining 3D GANs and Diffusion Priors
Extensive experiments demonstrate that the proposed framework achieves excellent results in both domain adaptation and text-to-avatar tasks, outperforming existing methods in terms of generation quality and efficiency.
DreaMoving: A Human Video Generation Framework based on Diffusion Models
In this paper, we present DreaMoving, a diffusion-based controllable video generation framework to produce high-quality customized human videos.
Boosting3D: High-Fidelity Image-to-3D by Boosting 2D Diffusion Prior to 3D Prior with Progressive Learning
After the progressive training, the LoRA learns the 3D information of the generated object and eventually turns to an object-level 3D prior.
Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion Models
This is a technical report on the 360-degree panoramic image generation task based on diffusion models.
A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction from In-The-Wild Images
Meanwhile, 3D priors of facial details are incorporated to enhance the accuracy and authenticity of the reconstruction results.
Ranked #3 on
3D Face Reconstruction
on REALY (side-view)
Attentive Feedback Network for Boundary-Aware Salient Object Detection
Recent deep learning based salient object detection methods achieve gratifying performance built upon Fully Convolutional Neural Networks (FCNs).
Ranked #6 on
RGB Salient Object Detection
on SOC
Structured Siamese Network for Real-Time Visual Tracking
In this paper, we circumvent this issue by proposing a local structure learning method, which simultaneously considers the local patterns of the target and their structural relationships for more accurate target tracking.
Learning to Promote Saliency Detectors
The categories and appearance of salient objects vary from image to image, therefore, saliency detection is an image-specific task.
An Unsupervised Game-Theoretic Approach to Saliency Detection
Saliency maps are generated according to each region's strategy in the Nash equilibrium of the proposed Saliency Game.
Learning to Detect Salient Objects With Image-Level Supervision
In the second stage, FIN is fine-tuned with its predicted saliency maps as ground truth.
Hierarchical Cellular Automata for Visual Saliency
The CCA can act as an efficient pixel-wise aggregation algorithm that can integrate state-of-the-art methods, resulting in even better results.
Vanishing point attracts gaze in free-viewing and visual search tasks
In the second experiment, we asked 14 subjects (4 female, mean age 23. 07, SD=1. 26) to search for a target character (T or L) placed randomly on a 3x3 imaginary grid overlaid on top of an image.
Fixation prediction with a combined model of bottom-up saliency and vanishing point
By predicting where humans look in natural scenes, we can understand how they perceive complex natural scenes and prioritize information for further high-level visual processing.
Vanishing Point Attracts Eye Movements in Scene Free-viewing
Eye movements are crucial in understanding complex scenes.
