3 citations · 4 across the 11 of their papers we have counts for
11 papers · 1 filter
GroundAnything: Reconciling Parallel Decoding with Precise Visual Grounding at Flash Speed
Qize Yu, Lianrui Fan, Bowen Ping +19
Autoregressive (AR) grounding models serialize spatial predictions, introducing sequential latency and imposing a causal order on output tokens. We view grounding as visual evidenc…
Chat-Edit-3D++: Interactive 3D and 4D Scene Editing via Large Language Models
Shuangkang Fang, Yufeng Wang, Yi-Hsuan Tsai +4
Recent work on image content manipulation based on vision-language pre-training models has been effectively extended to text-driven 3D scene editing. However, existing schemes for…
MASRA: MLLM-Assisted Semantic-Relational Consistent Alignment for Video Temporal Grounding
Ran Ran, Jiwei Wei, Shuchang Zhou +5
Video Temporal Grounding (VTG) faces a cross-modal semantic gap that often leads to background features being incorrectly aligned with the query, while directly matching the query…
Enhancing Self-Supervised Talking Head Forgery Detection via a Training-Free Dual-System Framework
Ke Liu, Jiwei Wei, Shuchang Zhou +5
Supervised talking head forgery detection faces severe generalization challenges due to the continuous evolution of generators. By reducing reliance on generator-specific forgery p…
LEGO: LoRA-Enabled Generator-Oriented Framework for Synthetic Image Detection
Yutong Xiao, Ran Ran, Jiwei Wei +4
The rapid advancement of generative technologies has made synthetic images nearly indistinguishable from real ones, thereby creating an urgent need for robust detectors to counter…
HiMix: Hierarchical Artifact-aware Mixup for Generalized Synthetic Image Detection
Shuchang Zhou, Kaiwen Shen, Jiwei Wei +3
The rapid evolution of generative models has enabled the creation of highly realistic and diverse synthetic images, posing significant challenges to reliable and generalizable Synt…
Frequency-Aware Semantic Fusion with Gated Injection for AI-generated Image Detection
Shuchang Zhou, Shangkun Wu, Jiwei Wei +4
AI-generated images are becoming increasingly realistic and diverse, posing significant challenges for generalizable detection. While Vision Foundation Models (VFMs) provide rich s…
NeRF Is a Valuable Assistant for 3D Gaussian Splatting
Shuangkang Fang, I-Chao Shen, Takeo Igarashi +5
We introduce NeRF-GS, a novel framework that jointly optimizes Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS). This framework leverages the inherent continuous spat…
Chat-Edit-3D: Interactive 3D Scene Editing via Text Prompts
Shuangkang Fang, Yufeng Wang, Yi-Hsuan Tsai +4
Recent work on image content manipulation based on vision-language pre-training models has been effectively extended to text-driven 3D scene editing. However, existing schemes for…
Editing 3D Scenes via Text Prompts without Retraining
Shuangkang Fang, Yufeng Wang, Yi Yang +4
Numerous diffusion models have recently been applied to image synthesis and editing. However, editing 3D scenes is still in its early stages. It poses various challenges, such as t…
Progressive Volume Distillation with Active Learning for Efficient NeRF Architecture Conversion
Shuangkang Fang, Yufeng Wang, Yi Yang +4
Neural Radiance Fields (NeRF) have been widely adopted as practical and versatile representations for 3D scenes, facilitating various downstream tasks. However, different architect…