Computer Vision

One-shot animatable head avatar reconstruction is achieved using a novel dual-lifting method that generates 3D Gaussians from a single image, enabling real-time expression control and rendering with s…

Part-Aware Diffusion Model (PA-Diffusion) enables precise and efficient manipulation of articulated objects in real images by using abstract 3D models and dynamic feature maps, overcoming limitations …

GaussianMarker: A novel uncertainty-aware watermarking method ensures robust copyright protection for 3D Gaussian Splatting assets, invisibly embedding messages into model parameters and extractable …

GaussianCut enables intuitive 3D object selection via graph cuts on 3D Gaussian splatting, achieving competitive segmentation without extra training.

GaussianCube revolutionizes 3D generative modeling with a structured, explicit radiance representation, achieving state-of-the-art results using significantly fewer parameters.

Gaussian Graph Network (GGN) revolutionizes novel view synthesis by efficiently generating generalizable Gaussian representations from multi-view images, achieving superior rendering quality with fewe…

Ex4DGS achieves real-time high-quality dynamic scene rendering using explicit 4D Gaussian representations and keyframe interpolation.

Researchers developed Full Distance Attack (FDA) to generate adversarial patterns effective against pedestrian detectors across all distances, resolving the appearance gap issue between simulated and …

Frozen-DETR boosts object detection accuracy by integrating frozen foundation models as feature enhancers, achieving significant performance gains without the computational cost of fine-tuning.

Diffusion models, while excelling in image generation, are vulnerable to data poisoning. This paper demonstrates a BadNets-like attack’s effectiveness against diffusion models, causing image misalign…

α-NeuS: A novel method for neural implicit surface reconstruction that accurately reconstructs both transparent and opaque objects simultaneously by leveraging the unique properties of distance fields…

Researchers developed a self-supervised learning framework to create high-dynamic-range 3D Gaussian Splatting (3DGS) models from noisy raw images, significantly improving reconstruction quality and sp…

ODIN, trained on a million 360° videos (360-1M), generates realistic novel views and reconstructs 3D scenes from single images.

FreqMark: Robust invisible image watermarking via latent frequency space optimization, resisting regeneration attacks and achieving >90% bit accuracy with high image quality.

FreqBlender enhances DeepFake detection by cleverly blending frequency domain knowledge of real and fake faces, improving model generalization and providing a complementary strategy to existing spatia…

FreeSplat achieves state-of-the-art novel view synthesis by accurately localizing 3D Gaussians from long image sequences, overcoming limitations of prior methods confined to narrow-range interpolation…

FreeLong: Generate high-fidelity long videos without retraining using spectral blending of global and local video features!

FeINFN: a novel Fourier-enhanced Implicit Neural Fusion Network, achieves state-of-the-art hyperspectral image fusion by innovatively combining spatial and frequency information in both the spatial an…

This work proposes FACL, a novel loss function for precipitation nowcasting, improving forecast sharpness and meteorological skill without sacrificing accuracy.

FouRA: a novel low-rank adaptation method improves text-to-image generation by learning projections in the Fourier domain and using an adaptive rank selection strategy, addressing LoRA’s limitations o…