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cs.CV2026
3D-Consistent Multi-View Editing by Correspondence Guidance
Josef Bengtson, David Nilsson, Dong In Lee +2
Recent advancements in diffusion and flow models have greatly improved text-based image editing, yet methods that edit images independently often produce geometrically and photomet…
cs.CV2025
Geometric Consistency Refinement for Single Image Novel View Synthesis via Test-Time Adaptation of Diffusion Models
Josef Bengtson, David Nilsson, Fredrik Kahl
Diffusion models for single image novel view synthesis (NVS) can generate highly realistic and plausible images, but they are limited in the geometric consistency to the given rela…
cs.CV2024
FlowIBR: Leveraging Pre-Training for Efficient Neural Image-Based Rendering of Dynamic Scenes
Marcel Büsching, Josef Bengtson, David Nilsson +1
We introduce FlowIBR, a novel approach for efficient monocular novel view synthesis of dynamic scenes. Existing techniques already show impressive rendering quality but tend to foc…