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Found 23 papers, 8 papers with code
Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding
Injecting semantics into 3D Gaussian Splatting (3DGS) has recently garnered significant attention.
DreamMix: Decoupling Object Attributes for Enhanced Editability in Customized Image Inpainting
Extensive experiments demonstrate that DreamMix effectively balances identity preservation and attribute editability across various application scenarios, including object insertion, attribute editing, and small object inpainting.
Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills
Our core insight is that a meta-control system can be built to automate the thought process that human experts use to design control systems.
CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models
In this work, we propose CharacterFactory, a framework that allows sampling new characters with consistent identities in the latent space of GANs for diffusion models.
StableIdentity: Inserting Anybody into Anywhere at First Sight
We believe that the proposed StableIdentity is an important step to unify image, video, and 3D customized generation models.
Magicremover: Tuning-free Text-guided Image inpainting with Diffusion Models
In this paper, we propose MagicRemover, a tuning-free method that leverages the powerful diffusion models for text-guided image inpainting.
Cloth2Body: Generating 3D Human Body Mesh from 2D Clothing
Finally, how to generate diverse and plausible results from a 2D clothing image.
GM-NeRF: Learning Generalizable Model-based Neural Radiance Fields from Multi-view Images
The results demonstrate that our approach outperforms state-of-the-art methods in terms of novel view synthesis and geometric reconstruction.
Pixel2ISDF: Implicit Signed Distance Fields based Human Body Model from Multi-view and Multi-pose Images
The integrated features acting as the latent code are anchored to the SMPLX mesh in the canonical space.
Controllable Radiance Fields for Dynamic Face Synthesis
Recent work on 3D-aware image synthesis has achieved compelling results using advances in neural rendering.
UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation
We propose united implicit functions (UNIF), a part-based method for clothed human reconstruction and animation with raw scans and skeletons as the input.
Direct Dense Pose Estimation
In addition, DDP is computationally more efficient than previous dense pose estimation methods, and it reduces jitters when applied to a video sequence, which is a problem plaguing the previous methods.
FoV-Net: Field-of-View Extrapolation Using Self-Attention and Uncertainty
The ability to make educated predictions about their surroundings, and associate them with certain confidence, is important for intelligent systems, like autonomous vehicles and robots.
Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading
In this paper, we introduce an event-driven trading strategy that predicts stock movements by detecting corporate events from news articles.
Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild
Due to the ubiquity of smartphones, it is popular to take photos of one's self, or "selfies."
A Novel BiLevel Paradigm for Image-to-Image Translation
Image-to-image (I2I) translation is a pixel-level mapping that requires a large number of paired training data and often suffers from the problems of high diversity and strong category bias in image scenes.
An Unpaired Shape Transforming Method for Image Translation and Cross-Domain Retrieval
We address the problem of unpaired geometric image-to-image translation.
Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency
Experimental results on various datasets show that EGSC-IT does not only translate the source image to diverse instances in the target domain, but also preserves the semantic consistency during the process.
Disentangled Person Image Generation
Generating novel, yet realistic, images of persons is a challenging task due to the complex interplay between the different image factors, such as the foreground, background and pose information.
Ranked #2 on
Gesture-to-Gesture Translation
on Senz3D
Natural and Effective Obfuscation by Head Inpainting
As more and more personal photos are shared online, being able to obfuscate identities in such photos is becoming a necessity for privacy protection.
Pose Guided Person Image Generation
This paper proposes the novel Pose Guided Person Generation Network (PG$^2$) that allows to synthesize person images in arbitrary poses, based on an image of that person and a novel pose.
Ranked #3 on
Gesture-to-Gesture Translation
on Senz3D
Orientation Driven Bag of Appearances for Person Re-identification
Experimental results on three public datasets and two proposed datasets demonstrate the superiority of the proposed approach, indicating the effectiveness of body structure and orientation information for improving re-identification performance.
Appearance Harmonization for Single Image Shadow Removal
In this work we propose a fully automatic shadow region harmonization approach that improves the appearance compatibility of the de-shadowed region as typically produced by previous methods.
