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Found 11 papers, 2 papers with code
Model Will Tell: Training Membership Inference for Diffusion Models
In this paper, we explore a novel perspective for the TMI task by leveraging the intrinsic generative priors within the diffusion model.
Customize your NeRF: Adaptive Source Driven 3D Scene Editing via Local-Global Iterative Training
In this paper, we target the adaptive source driven 3D scene editing task by proposing a CustomNeRF model that unifies a text description or a reference image as the editing prompt.
Enriching Phrases with Coupled Pixel and Object Contexts for Panoptic Narrative Grounding
Panoptic narrative grounding (PNG) aims to segment things and stuff objects in an image described by noun phrases of a narrative caption.
OSM-Net: One-to-Many One-shot Talking Head Generation with Spontaneous Head Motions
Other works construct one-to-one mapping between audio signal and head motion sequences, introducing ambiguity correspondences into the mapping since people can behave differently in head motions when speaking the same content.
Discovering Sounding Objects by Audio Queries for Audio Visual Segmentation
Explicit object-level semantic correspondence between audio and visual modalities is established by gathering object information from visual features with predefined audio queries.
MFR-Net: Multi-faceted Responsive Listening Head Generation via Denoising Diffusion Model
Responsive listening head generation is an important task that aims to model face-to-face communication scenarios by generating a listener head video given a speaker video and a listener head image.
FONT: Flow-guided One-shot Talking Head Generation with Natural Head Motions
Specifically, the head pose prediction module is designed to generate head pose sequences from the source face and driving audio.
OPT: One-shot Pose-Controllable Talking Head Generation
To solve the identity mismatch problem and achieve high-quality free pose control, we present One-shot Pose-controllable Talking head generation network (OPT).
Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection
An attempt has been made to get rid of BEV and predict 3D lanes from FV representations directly, while it still underperforms other BEV-based methods given its lack of structured representation for 3D lanes.
Ranked #3 on
3D Lane Detection
on Apollo Synthetic 3D Lane
Bridging Search Region Interaction With Template for RGB-T Tracking
To alleviate these limitations, we propose a novel Template-Bridged Search region Interaction (TBSI) module which exploits templates as the medium to bridge the cross-modal interaction between RGB and TIR search regions by gathering and distributing target-relevant object and environment contexts.
Ranked #2 on
Rgb-T Tracking
on RGBT210
LI-Net: Large-Pose Identity-Preserving Face Reenactment Network
Face reenactment is a challenging task, as it is difficult to maintain accurate expression, pose and identity simultaneously.
