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Found 6 papers, 2 papers with code
PoseAnimate: Zero-shot high fidelity pose controllable character animation
Image-to-video(I2V) generation aims to create a video sequence from a single image, which requires high temporal coherence and visual fidelity with the source image. However, existing approaches suffer from character appearance inconsistency and poor preservation of fine details.
LoopAnimate: Loopable Salient Object Animation
The proposed LoopAnimate, which for the first time extends the single-pass generation length of UNet-based video generation models to 35 frames while maintaining high-quality video generation.
Lightweight high-resolution Subject Matting in the Real World
To alleviate these issues, we propose to construct a saliency object matting dataset HRSOM and a lightweight network PSUNet.
BARET : Balanced Attention based Real image Editing driven by Target-text Inversion
Image editing approaches with diffusion models have been rapidly developed, yet their applicability are subject to requirements such as specific editing types (e. g., foreground or background object editing, style transfer), multiple conditions (e. g., mask, sketch, caption), and time consuming fine-tuning of diffusion models.
EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object Detection
In recent years, great progress has been made in the Lift-Splat-Shot-based (LSS-based) 3D object detection method.
Ranked #1 on
3D Object Detection
on nuScenes
GAM : Gradient Attention Module of Optimization for Point Clouds Analysis
In point cloud analysis tasks, the existing local feature aggregation descriptors (LFAD) are unable to fully utilize information in the neighborhood of central points.
