{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion | Paper Citation Record

Observation 96b6e20c-b31b-4c82-ba1a-9950eafd47ca · outbound

This paper cites Recammaster: Camera-controlled generative rendering from a single video.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Recammaster: Camera-controlled generative rendering from a single video

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 535096f4-20bd-4608-9a27-63f32843be35 · outbound

This paper cites Depth pro: Sharp monocular metric depth in less than a second.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Depth pro: Sharp monocular metric depth in less than a second

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23df0b69-57fd-47d1-9b41-d6ff6859f7ff · outbound

This paper cites Video depth anything: Consistent depth estimation for super-long videos.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Video depth anything: Consistent depth estimation for super-long videos

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2385470-06b5-4787-84f1-8fa380d5b5d2 · outbound

This paper cites SVG: 3D Stereoscopic Video Generation via Denoising Frame Matrix.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion SVG: 3D Stereoscopic Video Generation via Denoising Frame Matrix

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:42:46.963567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e117046e-8878-49db-a2c1-669dedb3dc60 · outbound

This paper cites Boosting robustness of image matting with context assembling and strong data augmentation.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Boosting robustness of image matting with context assembling and strong data augmentation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00dcee1d-1d96-4fe9-a8af-81d0dd83d023 · outbound

This paper cites Simoncelli.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Simoncelli

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba618670-1253-431d-a029-d7a07babafd5 · outbound

This paper cites Cat3d: Create anything in 3d with multi-view diffusion models.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Cat3d: Create anything in 3d with multi-view diffusion models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fca11d94-c2c6-4f81-828d-e388e0dc7bdd · outbound

This paper cites Generative video matting.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Generative video matting

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5af254f8-7869-4234-85f0-74c90246c7e4 · outbound

This paper cites Eye2Eye: A Simple Approach for Monocular-to-Stereo Video Synthesis.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Eye2Eye: A Simple Approach for Monocular-to-Stereo Video Synthesis

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:42:46.966087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 14c4326a-8b71-4697-8837-69d05558dc43 · outbound

This paper cites Repurposing diffusion-based image generators for monocular depth estimation.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Repurposing diffusion-based image generators for monocular depth estimation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0f7de32-cd34-4a89-965c-9ae73cc864ff · outbound

This paper cites Modnet: Real-time trimap-free portrait matting via objective decomposition.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Modnet: Real-time trimap-free portrait matting via objective decomposition

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11a1af3e-3401-45f4-9590-4c3fe4fd73db · outbound

This paper cites Zim: Zero-shot image matting for anything.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Zim: Zero-shot image matting for anything

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation faa010a7-9073-474f-b9e6-80616dddebc2 · outbound

This paper cites Matting anything.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Matting anything

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e299fc20-45e9-439c-91bd-d33a0ccb70ca · outbound

This paper cites PhD thesis, University of Sydney, 2020.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion PhD thesis, University of Sydney, 2020

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f523e75-b1b3-4600-9ecb-ac7b022b1b3d · outbound

This paper cites Privacy-preserving portrait matting.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Privacy-preserving portrait matting

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8b945cd-afe5-41cc-8180-2624a39cda6c · outbound

This paper cites Deep automatic natural image matting.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Deep automatic natural image matting

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 143fcd85-6675-4b76-aa3e-35c7a674ebe9 · outbound

This paper cites Megadepth: Learning single-view depth prediction from internet photos.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Megadepth: Learning single-view depth prediction from internet photos

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9a0ac76-71fc-461c-9e8a-eb5ee5104031 · outbound

This paper cites Depth Anything 3: Recovering the Visual Space from Any Views.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Depth Anything 3: Recovering the Visual Space from Any Views

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-06-28T22:42:46.953620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 86664605-a4e1-4b2d-8488-4124465bec41 · outbound

This paper cites Robust high-resolution video matting with temporal guidance.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Robust high-resolution video matting with temporal guidance

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e17d30e-0610-4d3e-90d7-e50a45f9fbcd · outbound

This paper cites Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4118b05f-5e40-490f-b9ce-464d41d91613 · outbound

This paper cites What is the fractional laplacian? a comparative review with new results.Journal of Computational Physics, 404:109009, 2020.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion What is the fractional laplacian? a comparative review with new results.Journal of Computational Physics, 404:109009, 2020

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9658881-273c-40ab-8b8f-8f59fa003a37 · outbound

This paper cites Decoupled weight decay regularization.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Decoupled weight decay regularization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 404621a9-5688-4a8b-8d17-fbc2700264f6 · outbound

This paper cites Stereo conversion with disparity- aware warping, compositing and inpainting.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Stereo conversion with disparity- aware warping, compositing and inpainting

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f35f2af-c217-4a9e-9828-eb449a6f23b0 · outbound

This paper cites Elastic3d: Controllable stereo video conversion with guided latent decoding.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Elastic3d: Controllable stereo video conversion with guided latent decoding

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0893577e-a684-49f8-87d0-906fef8f9ab4 · outbound

This paper cites Softmax splatting for video frame interpolation.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Softmax splatting for video frame interpolation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68f49480-5e57-425b-8baf-7596d4d0a3fa · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion DINOv2: Learning Robust Visual Features without Supervision

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-06-28T22:42:46.951388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0e88c19c-4b8e-4335-a0a3-f95e3ab8c0d3 · outbound

This paper cites Matteformer: Transformer- based image matting via prior-tokens.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Matteformer: Transformer- based image matting via prior-tokens

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a7561e5-88ed-404f-b19e-87b24d0a3680 · outbound

This paper cites UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-06-28T22:42:46.958398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 84c766ec-cb59-41bd-8ffd-1b0694bb86c6 · outbound

This paper cites Unidepth: Universal monocular metric depth estimation.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Unidepth: Universal monocular metric depth estimation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9459994b-4f44-4d65-85d8-d97e4b07fee5 · outbound

This paper cites Attention-guided hierarchical structure aggregation for image matting.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Attention-guided hierarchical structure aggregation for image matting

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed2ab9a8-e257-420c-9e02-2cdb455a7e2f · outbound

This paper cites Vision transformers for dense prediction.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Vision transformers for dense prediction

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecbd65e9-3f66-4ce0-b556-bf102bf76064 · outbound

This paper cites Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer.PAMI, 44(3):1623–1637, 2020.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer.PAMI, 44(3):1623–1637, 2020

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86ec3799-839e-49e4-ab53-5fd43b1ffde8 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion High-resolution image synthesis with latent diffusion models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9793ed01-9bc6-454b-9579-075887e87ab5 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion U-net: Convolutional networks for biomedical image segmentation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc595c06-7692-4cbe-9e7c-c41a3dab4486 · outbound

This paper cites arXiv preprint arXiv:2512.16915 (2025).

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion arXiv preprint arXiv:2512.16915 (2025)

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:42:46.949125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c2e60aa7-2686-45a5-864f-29bd2786e5b6 · outbound

This paper cites M2SVid: End-to-end inpainting and refinement for monocular-to-stereo video conversion.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion M2SVid: End-to-end inpainting and refinement for monocular-to-stereo video conversion

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:42:46.946437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7e84499c-7f24-40b8-9936-8a17939a3449 · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-06-28T22:42:46.955892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f9cffedd-0063-4ef0-812d-b47b06e0f4e4 · outbound

This paper cites Stereodiffusion: Training-free stereo image generation using latent diffusion models.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Stereodiffusion: Training-free stereo image generation using latent diffusion models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4bdf93a-0dd8-4dd5-b747-efb188e45003 · outbound

This paper cites Moge: Unlocking accurate monocular geometry estimation for open-domain images with optimal training supervision.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Moge: Unlocking accurate monocular geometry estimation for open-domain images with optimal training supervision

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b4e3ebf-2546-4335-997e-2b96da67ab08 · outbound

This paper cites Moge-2: Accurate monocular geometry with metric scale and sharp details.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Moge-2: Accurate monocular geometry with metric scale and sharp details

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaf4858b-eddb-4eed-9f8d-5602a7f2f7f7 · outbound

This paper cites Deep3d: Fully automatic 2d-to-3d video conversion with deep convolutional neural networks.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Deep3d: Fully automatic 2d-to-3d video conversion with deep convolutional neural networks

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7ad5611-856a-482f-a04b-646893f0b7ad · outbound

This paper cites Pixel-perfect depth with semantics-prompted diffusion transformers.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Pixel-perfect depth with semantics-prompted diffusion transformers

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97292503-f334-4742-9761-d31e6454da64 · outbound

This paper cites Deep image matting.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Deep image matting

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03101b83-8490-4d3a-aef8-8e2e4c492487 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Depth anything: Unleashing the power of large-scale unlabeled data

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dbfc090-101a-4fe0-b2eb-396d915cd215 · outbound

This paper cites Depth anything v2.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Depth anything v2

Reference 45

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7f1adb2-b488-4355-a56d-49bdd56a3fbf · outbound

This paper cites Matanyone 2: Scaling video matting via a learned quality evaluator.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Matanyone 2: Scaling video matting via a learned quality evaluator

Reference 46

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b521c6f1-eb6f-4fc4-a10d-1e9ebf137d5c · outbound

This paper cites Matanyone: Stable video matting with consistent memory propagation.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Matanyone: Stable video matting with consistent memory propagation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 142c9ede-89e1-4fde-ba95-bff6eb788ca3 · outbound

This paper cites Vitmatte: Boosting image matting with pre-trained plain vision transformers.Information Fusion, 103:102091, 2024.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Vitmatte: Boosting image matting with pre-trained plain vision transformers.Information Fusion, 103:102091, 2024

Reference 48

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 293b7ab9-3bc9-4748-a4ba-62562ff0a876 · outbound

This paper cites DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:42:46.960932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ecec508b-5d75-4f44-8405-f45b8b244030 · outbound

This paper cites Mono2stereo: A benchmark and empirical study for stereo conversion.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Mono2stereo: A benchmark and empirical study for stereo conversion

Reference 50

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01af5929-3c9b-4afc-8010-919f86df74d1 · outbound

This paper cites ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-06-28T22:42:46.968501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a76db914-dd11-4ee3-872b-d1eda94cd4c5 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion The unreasonable effectiveness of deep features as a perceptual metric

Reference 52

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1403c33f-e70c-4123-b9a1-6115674c25ff · outbound

This paper cites Betterdepth: Plug-and-play diffusion refiner for zero-shot monocular depth estimation.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Betterdepth: Plug-and-play diffusion refiner for zero-shot monocular depth estimation

Reference 53

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dd8869a-496b-4daf-8029-c9246c2e7d20 · outbound

This paper cites High-fidelity novel view synthesis via splatting-guided diffusion.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion High-fidelity novel view synthesis via splatting-guided diffusion

Reference 54

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9282b2b-9ca8-4fa2-9854-ce8e783826eb · outbound

This paper cites Guardians of the hair: Rescuing soft boundaries in depth, stereo, and novel views.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Guardians of the hair: Rescuing soft boundaries in depth, stereo, and novel views

Reference 55

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61397251-12f9-498b-b8a0-05d3ad79fbce · outbound

This paper cites StereoCrafter: Diffusion-based Generation of Long and High-fidelity Stereoscopic 3D from Monocular Videos.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion StereoCrafter: Diffusion-based Generation of Long and High-fidelity Stereoscopic 3D from Monocular Videos

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:42:46.971179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5f6b1491-b2d4-4aac-9b3d-ca1aba0717eb · outbound

This paper cites Stereo magnification: learning view synthesis using multiplane images.ACM Trans.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion Stereo magnification: learning view synthesis using multiplane images.ACM Trans

Reference 57

Resolution: unresolved; no resolver link, observed 2026-06-28T22:37:00.236409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers