arXiv AI
GeoFix: Geometry Fixing for 4D Consistent Generation
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arXiv Computer Vision
Oct 9
WorldAlign: Decoupled 4D Reward for World-Consistent Video Generation
WorldAlign introduces a decoupled 4D reward framework for improving world consistency in generated videos. It separates static regions from dynamic subjects, aligning each with a suitable world prior—geometric priors for static geometry and a vision‑language model for dynamic subjects—using masked reprojection and a VLM‑as‑a‑judge reward. The method enhances both static and dynamic consistency in pretrained image‑to‑video generators without relying on human preference data.
arXiv AI
Oct 5
LoGo: Local-Global Rewards for Consistent Long-Horizon Video Generation
LoGo introduces a hybrid reward system combining global and spatially localized rewards to improve 3D consistency in camera-controlled video generation. The local reward offers fine-grained credit assignment, reducing object shifts and artifacts, while the global reward maintains camera following and overall video quality. Evaluations on DL3DV and the new TrajectoryBench benchmark demonstrate LoGo’s advantage over existing post-training techniques.
arXiv Computer Vision
Sep 30
GeoVerse: World-Consistent Novel View Synthesis in Geometric Latent Space
arXiv:2609.35734v2 Announce Type: replace Abstract: Novel view synthesis from sparse images must reconcile faithful reconstruction of observed regions with plausible completion of unseen content, whi...
arXiv AI
Jun 9
VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation
arXiv:2601. 23286v4 Announce Type: replace-cross Abstract: While recent video diffusion models (VDMs) produce visually impressive results, they fundamentally struggle to maintain 3D structural consistency, often resulting in object deformation or spatial drift.
arXiv Computer Vision
Sep 10
GTA: Advancing Image-to-3D World Generation via Geometry Then Appearance Video Diffusion
arXiv:2605.12957v2 Announce Type: replace Abstract: Recent developments in generative models and large-scale datasets have substantially advanced 3D world generation, facilitating a broad range of do...
Hugging Face Trending Papers
Aug 10
Illusion or Integrity? Geometrical Consistency Metric for AIGC Video Quality Evaluation
Recently, AI-driven video generation has attracted considerable attention. This surge increases the demand for reliable video quality assessment (VQA) metrics to evaluate AI-generated content (AIGC) videos and guide model optimization.