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20232026
most citedProgressive Volume Distillation with Active Learning for Efficient NeRF Architecture Conversion

3 citations · 4 across the 11 of their papers we have counts for

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Showing 2026 · cs.CVShow all

7 papers · 2 filters

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…